/
Friends.R
2965 lines (2807 loc) · 203 KB
/
Friends.R
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library(xml2)
library(rvest)
library(dplyr)
library(syuzhet)
library(readr)
library(stringr)
library(ggplot2)
library(viridis)
library(reshape2)
# Pintar sentimiento de cada episodio
leer_episodio <- function(path){
raw <- read_html(path)
raw %>%
html_node('body') %>%
html_text() -> raw_text
lineas <- read_lines(raw_text)
return(lineas)
}
limpiar_texto <- function(lineas){
# Quitar las notas adicionales de créditos, anuncios, etc
texto_limpio <- gsub("^Commercial Break.*", "", lineas, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^End.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^Closing Credits.*", "", texto_limpio, ignore.case = TRUE, perl = TRUE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^Opening Credits.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}The One.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^The Last One.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}(Originally )?written by.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}Story.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}Teleplay.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}Directed by.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}Produced by.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}Photographer.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}(Episodes )?(Ori?ginally )?tran?scribed by.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}(Episodes )?(Ori?ginally )?tran?script by.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}Note.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}Additional transcribing by.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}With Mino(r|t) Adjustments by.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}Aired:.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}Minor additions.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}With Help From.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub("^( ){0,4}HTMLed.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE)
texto_limpio <- gsub(".*Previously on Friends.*", "", texto_limpio, ignore.case = TRUE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Quitar cuando dicen "Previuously on Friends"
texto_limpio <- gsub("\\(.{,100}?\\)", "", texto_limpio, ignore.case = FALSE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Quitar paréntesis, non-greedy
texto_limpio <- gsub("\\(.*", "", texto_limpio, ignore.case = FALSE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Quitar paréntesis inicial y todo lo que le sigue hasta el final
texto_limpio <- gsub(".*\\)", "", texto_limpio, ignore.case = FALSE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Quitar paréntesis final y todo lo que le precede desde el principio
texto_limpio <- gsub("\\{.{,100}?\\}", "", texto_limpio, ignore.case = FALSE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Quitar llaves, non-greedy
texto_limpio <- gsub("\\{.*", "", texto_limpio, ignore.case = FALSE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Quitar llave inicial y todo lo que le sigue hasta el final
texto_limpio <- gsub(".*\\}", "", texto_limpio, ignore.case = FALSE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Quitar llave final y todo lo que le precede desde el principio
texto_limpio <- gsub("\\[.{,100}?\\]", "", texto_limpio, ignore.case = FALSE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Quitar corchetes, non-greedy
texto_limpio <- gsub("\\[.*", "", texto_limpio, ignore.case = FALSE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Quitar corchete inicial y todo lo que le sigue hasta el final
texto_limpio <- gsub(".*\\]", "", texto_limpio, ignore.case = FALSE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Quitar corchete final y todo lo que le precede desde el principio
texto_limpio <- gsub("\\.*", "", texto_limpio, ignore.case = FALSE, perl = FALSE, fixed = FALSE, useBytes = FALSE) # Eliminar líneas con un punto
texto_limpio <- texto_limpio[texto_limpio != ' '] # Eliminar líneas con un espacio
texto_limpio <- texto_limpio[texto_limpio != ' '] # Eliminar líneas con un espacio fino
texto_limpio <- texto_limpio[texto_limpio != ''] # Eliminar líneas vacías
return(texto_limpio)
}
pintar_sentimiento <- function(df_nrc, episodiolimpio, nombre_episodio) {
df_nrc <- cbind(linenumber = seq_along(episodiolimpio), get_nrc_sentiment(episodiolimpio))
episodioplot <- df_nrc %>% select(linenumber, negative, positive) %>% mutate(sentiment = positive - negative)
episodio_rawsentiment <- ggplot(data = episodioplot, aes(x = linenumber, y = sentiment)) + geom_bar(stat = "identity", position = "identity", color = "midnightblue") +
theme_minimal() +
scale_x_discrete(expand=c(0.02,0)) +
theme(axis.text.y=element_text(margin=margin(r=-10))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank())
episodioft <- as.numeric(get_transformed_values(episodioplot$sentiment,
low_pass_size = 3,
x_reverse_len = 200,
scale_vals = TRUE,
scale_range = FALSE))
episodioft <- data.frame(cbind(linenumber = seq_along(episodioft), ft = episodioft))
episodio_sentiment <- ggplot(data = episodioft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "midnightblue", fill = "midnightblue") +
theme_minimal() +
ylab("Transformed Sentiment Value") +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank())
return(episodio_sentiment)
}
analizar_ep <- function(path) {
episodio <- leer_episodio(path)
episodiolimpio <- limpiar_texto(episodio)
episodionrc <- cbind(linenumber = seq_along(episodiolimpio), get_nrc_sentiment(episodiolimpio))
episodio_sentiment <- pintar_sentimiento(episodionrc, episodiolimpio, episodio)
return(episodio_sentiment)
}
# Pintar sentimiento de cada temporada
obtener_texto <- function(path){
texto <- leer_episodio(path)
texto <- limpiar_texto(texto)
return(texto)
}
pintar_sentimiento_temp <- function(df_nrc, episodiolimpio, nombre_episodio) {
episodioplot <- df_nrc %>% select(linenumber, negative, positive) %>% mutate(negative = -negative)
episodio_rawsentiment <- ggplot(data = episodioplot, aes(x = linenumber, y = negative + positive)) + geom_bar(stat = "identity")
df_nrc <- cbind(linenumber = seq_along(episodiolimpio), get_nrc_sentiment(episodiolimpio))
episodioplot <- df_nrc %>% select(linenumber, negative, positive) %>% mutate(sentiment = positive - negative)
episodio_rawsentiment <- ggplot(data = episodioplot, aes(x = linenumber, y = sentiment)) + geom_bar(stat = "identity", position = "identity", color = "midnightblue") +
theme_minimal() +
scale_x_discrete(expand=c(0.02,0)) +
theme(axis.text.y=element_text(margin=margin(r=-10))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank())
episodioft <- as.numeric(get_transformed_values(episodioplot$sentiment,
low_pass_size = 3,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
episodioft <- data.frame(cbind(linenumber = seq_along(episodioft), ft = episodioft))
episodio_sentiment <- ggplot(data = episodioft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "midnightblue", fill = "midnightblue") +
theme_minimal() +
ylab("Transformed Sentiment Value") +
ggtitle(expression(paste("Sentiment in ", italic(nombre_episodio)))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 3, inherit.aes = FALSE) +
geom_segment(data = annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
return(episodio_sentiment)
}
# Pintar una emoción concreta en una temporada (default = joy) (sin uso)
pintar_joy_temp <- function(df_nrc, episodiolimpio, nombre_episodio) {
episodioplot <- df_nrc %>% select(linenumber, joy)
episodio_rawsentiment <- ggplot(data = episodioplot, aes(x = linenumber, y = joy)) + geom_bar(stat = "identity")
df_nrc <- cbind(linenumber = seq_along(episodiolimpio), get_nrc_sentiment(episodiolimpio))
episodioplot <- df_nrc %>% select(linenumber, joy)
episodioft <- data.frame(cbind(linenumber = seq_along(episodioplot)))
episodio_sentiment <- ggplot(data = episodioft, aes(x = linenumber), y = joy) +
geom_bar(stat = "identity", alpha = 0.8, color = "darkgreen", fill = "darkgreen") +
theme_minimal() +
ylab("Joy") +
ggtitle(expression(paste("Joy in ", italic(nombre_episodio)))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 3, inherit.aes = FALSE) +
geom_segment(data = annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
return(episodio_sentiment)
}
# Primera temporada
## Sentimiento de cada episodio
s01e01 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0101.html")
s01e02 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0102.html")
s01e03 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0103.html")
s01e04 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0104.html")
s01e05 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0105.html")
s01e06 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0106.html")
s01e07 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0107.html")
s01e08 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0108.html")
s01e09 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0109.html")
s01e10 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0110.html")
s01e11 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0111.html")
s01e12 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0112.html")
s01e13 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0113.html")
s01e14 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0114.html")
s01e15 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0115.html")
s01e16 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0116.html")
s01e17 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0117.html")
s01e18 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0118.html")
s01e19 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0119.html")
s01e20 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0120.html")
s01e21 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0121.html")
s01e22 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0122.html")
s01e23 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0123.html")
s01e24 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0124.html")
## Sentimiento de la temporada 1
s01e01texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0101.html')
s01e01nrc <- cbind(linenumber = seq_along(s01e01texto), get_nrc_sentiment(s01e01texto))
s01e02texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0102.html')
s01e02nrc <- cbind(linenumber = seq_along(s01e02texto), get_nrc_sentiment(s01e02texto))
s01e03texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0103.html')
s01e03nrc <- cbind(linenumber = seq_along(s01e03texto), get_nrc_sentiment(s01e03texto))
s01e04texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0104.html')
s01e04nrc <- cbind(linenumber = seq_along(s01e04texto), get_nrc_sentiment(s01e04texto))
s01e05texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0105.html')
s01e05nrc <- cbind(linenumber = seq_along(s01e05texto), get_nrc_sentiment(s01e05texto))
s01e06texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0106.html')
s01e06nrc <- cbind(linenumber = seq_along(s01e06texto), get_nrc_sentiment(s01e06texto))
s01e07texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0107.html')
s01e07nrc <- cbind(linenumber = seq_along(s01e07texto), get_nrc_sentiment(s01e07texto))
s01e08texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0108.html')
s01e08nrc <- cbind(linenumber = seq_along(s01e08texto), get_nrc_sentiment(s01e08texto))
s01e09texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0109.html')
s01e09nrc <- cbind(linenumber = seq_along(s01e09texto), get_nrc_sentiment(s01e09texto))
s01e10texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0110.html')
s01e10nrc <- cbind(linenumber = seq_along(s01e10texto), get_nrc_sentiment(s01e10texto))
s01e11texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0111.html')
s01e11nrc <- cbind(linenumber = seq_along(s01e11texto), get_nrc_sentiment(s01e11texto))
s01e12texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0112.html')
s01e12nrc <- cbind(linenumber = seq_along(s01e12texto), get_nrc_sentiment(s01e12texto))
s01e13texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0113.html')
s01e13nrc <- cbind(linenumber = seq_along(s01e13texto), get_nrc_sentiment(s01e13texto))
s01e14texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0114.html')
s01e14nrc <- cbind(linenumber = seq_along(s01e14texto), get_nrc_sentiment(s01e14texto))
s01e15texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0115.html')
s01e15nrc <- cbind(linenumber = seq_along(s01e15texto), get_nrc_sentiment(s01e15texto))
s01e16texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0116.html')
s01e16nrc <- cbind(linenumber = seq_along(s01e16texto), get_nrc_sentiment(s01e16texto))
s01e17texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0117.html')
s01e17nrc <- cbind(linenumber = seq_along(s01e17texto), get_nrc_sentiment(s01e17texto))
s01e18texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0118.html')
s01e18nrc <- cbind(linenumber = seq_along(s01e18texto), get_nrc_sentiment(s01e18texto))
s01e19texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0119.html')
s01e19nrc <- cbind(linenumber = seq_along(s01e19texto), get_nrc_sentiment(s01e19texto))
s01e20texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0120.html')
s01e20nrc <- cbind(linenumber = seq_along(s01e20texto), get_nrc_sentiment(s01e20texto))
s01e21texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0121.html')
s01e21nrc <- cbind(linenumber = seq_along(s01e21texto), get_nrc_sentiment(s01e21texto))
s01e22texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0122.html')
s01e22nrc <- cbind(linenumber = seq_along(s01e22texto), get_nrc_sentiment(s01e22texto))
s01e23texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0123.html')
s01e23nrc <- cbind(linenumber = seq_along(s01e23texto), get_nrc_sentiment(s01e23texto))
s01e24texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0124.html')
s01e24nrc <- cbind(linenumber = seq_along(s01e24texto), get_nrc_sentiment(s01e24texto))
s01texto <- c("s01e01", s01e01texto, "s01e02", s01e02texto, "s01e03", s01e03texto, "s01e04", s01e04texto, "s01e05", s01e05texto, "s01e06", s01e06texto, "s01e07", s01e07texto, "s01e08", s01e08texto, "s01e09", s01e09texto, "s01e10", s01e10texto, "s01e11", s01e11texto, "s01e12", s01e12texto, "s01e13", s01e13texto, "s01e14", s01e14texto, "s01e15", s01e15texto, "s01e16", s01e16texto, "s01e17", s01e17texto, "s01e18", s01e18texto, "s01e19", s01e19texto, "s01e20", s01e20texto, "s01e21", s01e21texto, "s01e22", s01e22texto, "s01e23", s01e23texto, "s01e24", s01e24texto)
s01nrc <- cbind(linenumber = seq_along(s01texto), get_nrc_sentiment(s01texto))
s01annotatetext <- data.frame(x = c(14, 50, 180, 234), y = c(2.4, -1.4, -2.2, 2.4),
label = c("Ross sort of\nasks Rachel out", "Rachel kisses Ross\nat the laundry place", "Girls win at poker", "Rachel finds out\nabout Ross"))
s01annotatearrow <- data.frame(x = c(14, 50, 180, 234),
y1 = c(2, -1, -2, 2), y2 = c(1.2, -0.2, -1.2, 1.2))
s01plot <- s01nrc %>% select(linenumber, negative, positive) %>% mutate(sentiment = positive - negative)
s01_rawsentiment <- ggplot(data = s01plot, aes(x = linenumber, y = sentiment)) +
geom_bar(stat = "identity", position = "identity", color = "midnightblue") +
theme_minimal() +
scale_x_discrete(expand=c(0.02,0)) +
theme(axis.text.y=element_text(margin=margin(r=-10))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank())
s01ft <- as.numeric(get_transformed_values(s01plot$sentiment,
low_pass_size = 3,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
s01ft <- data.frame(cbind(linenumber = seq_along(s01ft), ft = s01ft))
s01_sentiment <- ggplot(data = s01ft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "midnightblue", fill = "midnightblue") +
theme_minimal() +
ylab("Sentiment") +
ggtitle(expression(paste("Sentiment in ", italic("Season 1")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s01annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 4, inherit.aes = FALSE) +
geom_segment(data = s01annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
s01e13annotatetext <- data.frame(x = c(4, 24, 58, 92, 122, 146, 162, 177, 194, 212, 238), y = c(1.4, 2.2, -1.2, 1.4, -1.8, 2.8, -1.2, 1.6, -2.2, 1.4, -1.8),
label = c("Chandler sees\nRachel naked",
"Roger psycho-analyzes Chandler",
"Joey finds out\nhis father has a lover",
"Roger psycho-analyzes\nthe gang, they hate him",
"Joey meets his\nfather's lover",
"Joey and\nChandler talk",
"Rachel sees\nJoey naked",
"The gang tells Phoebe\nthey hate Roger",
"Joey talks with his mother",
"Roger laughs\nat the gang\nto Phoebe",
"Joey sees\nMonica naked,\nMonica sees Joey's\nfather naked"))
s01e13annotatearrow <- data.frame(x = c(4, 24, 58, 92, 122, 146, 162, 177, 194, 212, 238),
y1 = c(1, 2, -1, 1, -1.6, 2.4, -1, 1.2, -2, 1, -1.4), y2 = c(0.2, 1.2, -0.2, 0.2, -0.8, 1.6, -0.2, 0.4, -1.2, 0.2, -0.6))
s01e13plot <- s01e13nrc %>% select(linenumber, negative, positive) %>% mutate(sentiment = positive - negative)
s01e13_rawsentiment <- ggplot(data = s01e13plot, aes(x = linenumber, y = sentiment)) + geom_bar(stat = "identity", position = "identity", color = "midnightblue") +
theme_minimal() +
scale_x_discrete(expand=c(0.02,0)) +
theme(axis.text.y=element_text(margin=margin(r=-10))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank())
s01e13ft <- as.numeric(get_transformed_values(s01e13plot$sentiment,
low_pass_size = 3,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
s01e13ft <- data.frame(cbind(linenumber = seq_along(s01e13ft), ft = s01e13ft))
s01e13_sentiment <- ggplot(data = s01e13ft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "midnightblue", fill = "midnightblue") +
theme_minimal() +
ylab("Sentiment") +
ggtitle(expression(paste("Sentiment in ", italic("Season 1 Episode 13")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s01e13annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 4, inherit.aes = FALSE) +
geom_segment(data = s01e13annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
s01_joy <- pintar_joy_temp(s01nrc, s01texto, "Season 1")
# para sacar dónde van las flechas
write_lines(x = s01texto, 'C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/01.txt', append = FALSE)
episodioplot <- s01nrc %>% select(linenumber, joy)
episodioft <- as.numeric(get_transformed_values(episodioplot$joy,
low_pass_size = 3,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
episodioft <- data.frame(cbind(linenumber = seq_along(episodioft), ft = episodioft))
episodio_joy <- ggplot(data = episodioft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "darkgreen", fill = "darkgreen") +
theme_minimal() +
ylab("Joy") +
ggtitle(expression(paste("Joy in ", italic("Season 1")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s01annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 3, inherit.aes = FALSE) +
geom_segment(data = s01annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
# Joy
s01textocorto <- character()
for (i in seq_along(s01texto)) {
if (i%%68 == 1) s01textocorto[ceiling(i/68)] <- str_c(s01texto[i],
s01texto[i+1],
s01texto[i+2],
s01texto[i+3],
s01texto[i+4],
s01texto[i+5],
s01texto[i+6],
s01texto[i+7],
s01texto[i+8],
s01texto[i+9],
s01texto[i+10],
s01texto[i+11],
s01texto[i+12],
s01texto[i+13],
s01texto[i+14],
s01texto[i+15],
s01texto[i+16],
s01texto[i+17],
s01texto[i+18],
s01texto[i+19],
s01texto[i+20],
s01texto[i+21],
s01texto[i+22],
s01texto[i+23],
s01texto[i+24],
s01texto[i+25],
s01texto[i+26],
s01texto[i+27],
s01texto[i+28],
s01texto[i+29],
s01texto[i+30],
s01texto[i+31],
s01texto[i+32],
s01texto[i+33],
s01texto[i+34],
s01texto[i+35],
s01texto[i+36],
s01texto[i+37],
s01texto[i+38],
s01texto[i+39],
s01texto[i+40],
s01texto[i+41],
s01texto[i+42],
s01texto[i+43],
s01texto[i+44],
s01texto[i+45],
s01texto[i+46],
s01texto[i+47],
s01texto[i+48],
s01texto[i+49],
s01texto[i+50],
s01texto[i+51],
s01texto[i+52],
s01texto[i+53],
s01texto[i+54],
s01texto[i+55],
s01texto[i+56],
s01texto[i+57],
s01texto[i+58],
s01texto[i+59],
s01texto[i+60],
s01texto[i+61],
s01texto[i+62],
s01texto[i+63],
s01texto[i+64],
s01texto[i+65],
s01texto[i+66],
s01texto[i+67], sep = " ")
}
s01cortoplot <- s01cortonrc %>% select(linenumber, negative, positive) %>% mutate(sentiment = positive - negative)
s01corto_rawsentiment <- ggplot(data = s01cortoplot, aes(x = linenumber, y = sentiment)) + geom_bar(stat = "identity", position = "identity", color = "midnightblue") +
theme_minimal() +
scale_x_discrete(expand=c(0.02,0)) +
theme(axis.text.y=element_text(margin=margin(r=-10))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank())
s01cortoft <- as.numeric(get_transformed_values(s01cortoplot$sentiment,
low_pass_size = 3,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
s01cortoft <- data.frame(cbind(linenumber = seq_along(s01cortoft), cortoft = s01cortoft))
s01corto_sentiment <- ggplot(data = s01cortoft, aes(x = linenumber, y = cortoft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "midnightblue", fill = "midnightblue") +
theme_minimal() +
ylab("Sentiment") +
ggtitle(expression(paste("Sentiment in ", italic("Season 2")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s01annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 4, inherit.aes = FALSE) +
geom_segment(data = s01annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
s01cortonrc <- cbind(linenumber = seq_along(s01textocorto), get_nrc_sentiment(s01textocorto))
episodioplot <- as.data.frame(s01cortonrc %>% select(linenumber, joy))
episodioft <- as.numeric(get_transformed_values(episodioplot$joy,
low_pass_size = 10,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
episodioft <- data.frame(cbind(linenumber = seq_along(episodioft), ft = episodioft))
s01_joy_bars <- ggplot(data = episodioft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "darkgreen", fill = "darkgreen") +
theme_minimal() +
ylab("Joy") +
ggtitle(expression(paste("Joy in ", italic("Season 1")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s01annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 3, inherit.aes = FALSE) +
geom_segment(data = s01annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
s01_joy_line <- ggplot(episodioft, aes(linenumber, ft)) +
geom_path() +
aes(colour = "green") +
geom_text(data = s01annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 3, inherit.aes = FALSE) +
geom_segment(data = s01annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
# All emotions
s01cortonrc <- cbind(linenumber = seq_along(s01textocorto), get_nrc_sentiment(s01textocorto))
s01cortonrc$volume <- "Season 1"
emotions <- s01cortonrc %>% select(linenumber, volume, anger, anticipation, disgust,
fear, joy, sadness, surprise, trust) %>%
melt(id = c("linenumber", "volume"))
names(emotions) <- c("linenumber", "volume", "sentiment", "value")
levels(emotions$sentiment) <- c("Anger", "Anticipation", "Disgust", "Fear",
"Joy", "Sadness", "Surprise", "Trust")
emotions$sentiment = factor(emotions$sentiment, levels(emotions$sentiment)[c(5,8,2,7,6,3,4,1)])
s01emotions <- ggplot(data = emotions, aes(x = linenumber, y = sentiment, fill = value)) +
geom_tile(color="white", size=0.1) +
facet_wrap(~volume, nrow = 3) +
scale_fill_viridis(name="Sentiment\nScore") +
coord_equal() +
labs(x=NULL, y=NULL,
title=expression(paste("Sentiment in ", italic("Season 1")))) +
theme(axis.ticks=element_blank(), axis.text.x=element_blank()) +
scale_x_discrete(expand=c(0,0)) +
theme(axis.text=element_text(size=6)) +
theme(panel.border=element_blank()) +
theme(legend.title=element_text(size=6)) +
theme(legend.title.align=1) +
theme(legend.text=element_text(size=6)) +
theme(legend.position="bottom") +
theme(legend.key.size=unit(0.2, "cm")) +
theme(legend.key.width=unit(1, "cm"))
# Segunda temporada
s02e01 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0201.html")
s02e02 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0202.html")
s02e03 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0203.html")
s02e04 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0204.html")
s02e05 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0205.html")
s02e06 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0206.html")
s02e07 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0207.html")
s02e08 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0208.html")
s02e09 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0209.html")
s02e10 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0210.html")
s02e11 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0211.html")
s02e12 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0212.html")
s02e13 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0213.html")
s02e14 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0214.html")
s02e15 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0215.html")
s02e16 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0216.html")
s02e17 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0217.html")
s02e18 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0218.html")
s02e19 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0219.html")
s02e20 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0220.html")
s02e21 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0221.html")
s02e22 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0222.html")
s02e23 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0223.html")
s02e24 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0224.html")
## Sentimiento de la temporada 2
s02e01texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0201.html')
s02e01nrc <- cbind(linenumber = seq_along(s02e01texto), get_nrc_sentiment(s02e01texto))
s02e02texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0202.html')
s02e02nrc <- cbind(linenumber = seq_along(s02e02texto), get_nrc_sentiment(s02e02texto))
s02e03texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0203.html')
s02e03nrc <- cbind(linenumber = seq_along(s02e03texto), get_nrc_sentiment(s02e03texto))
s02e04texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0204.html')
s02e04nrc <- cbind(linenumber = seq_along(s02e04texto), get_nrc_sentiment(s02e04texto))
s02e05texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0205.html')
s02e05nrc <- cbind(linenumber = seq_along(s02e05texto), get_nrc_sentiment(s02e05texto))
s02e06texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0206.html')
s02e06nrc <- cbind(linenumber = seq_along(s02e06texto), get_nrc_sentiment(s02e06texto))
s02e07texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0207.html')
s02e07nrc <- cbind(linenumber = seq_along(s02e07texto), get_nrc_sentiment(s02e07texto))
s02e08texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0208.html')
s02e08nrc <- cbind(linenumber = seq_along(s02e08texto), get_nrc_sentiment(s02e08texto))
s02e09texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0209.html')
s02e09nrc <- cbind(linenumber = seq_along(s02e09texto), get_nrc_sentiment(s02e09texto))
s02e10texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0210.html')
s02e10nrc <- cbind(linenumber = seq_along(s02e10texto), get_nrc_sentiment(s02e10texto))
s02e11texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0211.html')
s02e11nrc <- cbind(linenumber = seq_along(s02e11texto), get_nrc_sentiment(s02e11texto))
s02e12texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0212.html')
s02e12nrc <- cbind(linenumber = seq_along(s02e12texto), get_nrc_sentiment(s02e12texto))
s02e13texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0213.html')
s02e13nrc <- cbind(linenumber = seq_along(s02e13texto), get_nrc_sentiment(s02e13texto))
s02e14texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0214.html')
s02e14nrc <- cbind(linenumber = seq_along(s02e14texto), get_nrc_sentiment(s02e14texto))
s02e15texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0215.html')
s02e15nrc <- cbind(linenumber = seq_along(s02e15texto), get_nrc_sentiment(s02e15texto))
s02e16texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0216.html')
s02e16nrc <- cbind(linenumber = seq_along(s02e16texto), get_nrc_sentiment(s02e16texto))
s02e17texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0217.html')
s02e17nrc <- cbind(linenumber = seq_along(s02e17texto), get_nrc_sentiment(s02e17texto))
s02e18texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0218.html')
s02e18nrc <- cbind(linenumber = seq_along(s02e18texto), get_nrc_sentiment(s02e18texto))
s02e19texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0219.html')
s02e19nrc <- cbind(linenumber = seq_along(s02e19texto), get_nrc_sentiment(s02e19texto))
s02e20texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0220.html')
s02e20nrc <- cbind(linenumber = seq_along(s02e20texto), get_nrc_sentiment(s02e20texto))
s02e21texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0221.html')
s02e21nrc <- cbind(linenumber = seq_along(s02e21texto), get_nrc_sentiment(s02e21texto))
s02e22texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0222.html')
s02e22nrc <- cbind(linenumber = seq_along(s02e22texto), get_nrc_sentiment(s02e22texto))
s02e23texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0223.html')
s02e23nrc <- cbind(linenumber = seq_along(s02e23texto), get_nrc_sentiment(s02e23texto))
s02e24texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0224.html')
s02e24nrc <- cbind(linenumber = seq_along(s02e24texto), get_nrc_sentiment(s02e24texto))
s02texto <- c("s02e01", s02e01texto, "s02e02", s02e02texto, "s02e03", s02e03texto, "s02e04", s02e04texto, "s02e05", s02e05texto, "s02e06", s02e06texto, "s02e07", s02e07texto, "s02e08", s02e08texto, "s02e09", s02e09texto, "s02e10", s02e10texto, "s02e11", s02e11texto, "s02e12", s02e12texto, "s02e13", s02e13texto, "s02e14", s02e14texto, "s02e15", s02e15texto, "s02e16", s02e16texto, "s02e17", s02e17texto, "s02e18", s02e18texto, "s02e19", s02e19texto, "s02e20", s02e20texto, "s02e21", s02e21texto, "s02e22", s02e22texto, "s02e23", s02e23texto, "s02e24", s02e24texto)
s02nrc <- cbind(linenumber = seq_along(s02texto), get_nrc_sentiment(s02texto))
s02annotatetext <- data.frame(x = c(67, 139), y = rep(2.2, 1),
label = c("Ross and Rachel kiss", "Ross and Rachel start again"))
s02annotatearrow <- data.frame(x = c(67, 139),
y1 = rep(2, 1), y2 = c(1.2))
s02plot <- s02nrc %>% select(linenumber, negative, positive) %>% mutate(sentiment = positive - negative)
s02_rawsentiment <- ggplot(data = s02plot, aes(x = linenumber, y = sentiment)) + geom_bar(stat = "identity", position = "identity", color = "midnightblue") +
theme_minimal() +
scale_x_discrete(expand=c(0.02,0)) +
theme(axis.text.y=element_text(margin=margin(r=-10))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank())
s02ft <- as.numeric(get_transformed_values(s02plot$sentiment,
low_pass_size = 3,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
s02ft <- data.frame(cbind(linenumber = seq_along(s02ft), ft = s02ft))
s02_sentiment <- ggplot(data = s02ft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "midnightblue", fill = "midnightblue") +
theme_minimal() +
ylab("Sentiment") +
ggtitle(expression(paste("Sentiment in ", italic("Season 2")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s02annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 4, inherit.aes = FALSE) +
geom_segment(data = s02annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
s02_joy <- pintar_joy_temp(s02nrc, s02texto, "Season 2")
# para sacar dónde van las flechas
write_lines(x = s02texto, 'C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/02.txt', append = FALSE)
episodioplot <- s02nrc %>% select(linenumber, joy)
episodioft <- as.numeric(get_transformed_values(episodioplot$joy,
low_pass_size = 3,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
episodioft <- data.frame(cbind(linenumber = seq_along(episodioft), ft = episodioft))
episodio_joy <- ggplot(data = episodioft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "darkgreen", fill = "darkgreen") +
theme_minimal() +
ylab("Joy") +
ggtitle(expression(paste("Joy in ", italic("Season 2")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s02annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 3, inherit.aes = FALSE) +
geom_segment(data = s02annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
# Joy
s02textocorto <- character()
for (i in seq_along(s02texto)) {
if (i%%68 == 1) s02textocorto[ceiling(i/68)] <- str_c(s02texto[i],
s02texto[i+1],
s02texto[i+2],
s02texto[i+3],
s02texto[i+4],
s02texto[i+5],
s02texto[i+6],
s02texto[i+7],
s02texto[i+8],
s02texto[i+9],
s02texto[i+10],
s02texto[i+11],
s02texto[i+12],
s02texto[i+13],
s02texto[i+14],
s02texto[i+15],
s02texto[i+16],
s02texto[i+17],
s02texto[i+18],
s02texto[i+19],
s02texto[i+20],
s02texto[i+21],
s02texto[i+22],
s02texto[i+23],
s02texto[i+24],
s02texto[i+25],
s02texto[i+26],
s02texto[i+27],
s02texto[i+28],
s02texto[i+29],
s02texto[i+30],
s02texto[i+31],
s02texto[i+32],
s02texto[i+33],
s02texto[i+34],
s02texto[i+35],
s02texto[i+36],
s02texto[i+37],
s02texto[i+38],
s02texto[i+39],
s02texto[i+40],
s02texto[i+41],
s02texto[i+42],
s02texto[i+43],
s02texto[i+44],
s02texto[i+45],
s02texto[i+46],
s02texto[i+47],
s02texto[i+48],
s02texto[i+49],
s02texto[i+50],
s02texto[i+51],
s02texto[i+52],
s02texto[i+53],
s02texto[i+54],
s02texto[i+55],
s02texto[i+56],
s02texto[i+57],
s02texto[i+58],
s02texto[i+59],
s02texto[i+60],
s02texto[i+61],
s02texto[i+62],
s02texto[i+63],
s02texto[i+64],
s02texto[i+65],
s02texto[i+66],
s02texto[i+67], sep = " ")
}
s02cortoannotatetext <- data.frame(x = c(67, 139), y = c(-1.8, 2.2),
label = c("Ross and Rachel kiss", "Ross and Rachel start again"))
s02cortoannotatearrow <- data.frame(x = c(67, 139),
y1 = c(-1.6, 2), y2 = c(-0.8, 1.2))
s02cortoplot <- s02cortonrc %>% select(linenumber, negative, positive) %>% mutate(sentiment = positive - negative)
s02corto_rawsentiment <- ggplot(data = s02cortoplot, aes(x = linenumber, y = sentiment)) + geom_bar(stat = "identity", position = "identity", color = "midnightblue") +
theme_minimal() +
scale_x_discrete(expand=c(0.02,0)) +
theme(axis.text.y=element_text(margin=margin(r=-10))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank())
s02cortoft <- as.numeric(get_transformed_values(s02cortoplot$sentiment,
low_pass_size = 3,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
s02cortoft <- data.frame(cbind(linenumber = seq_along(s02cortoft), cortoft = s02cortoft))
s02corto_sentiment <- ggplot(data = s02cortoft, aes(x = linenumber, y = cortoft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "midnightblue", fill = "midnightblue") +
theme_minimal() +
ylab("Sentiment") +
ggtitle(expression(paste("Sentiment in ", italic("Season 2")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s02cortoannotatetext, aes(x,y,label=label), hjust = 0.5,
size = 4, inherit.aes = FALSE) +
geom_segment(data = s02cortoannotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
s02cortonrc <- cbind(linenumber = seq_along(s02textocorto), get_nrc_sentiment(s02textocorto))
episodioplot <- as.data.frame(s02cortonrc %>% select(linenumber, joy))
episodioft <- as.numeric(get_transformed_values(episodioplot$joy,
low_pass_size = 10,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
episodioft <- data.frame(cbind(linenumber = seq_along(episodioft), ft = episodioft))
s02_joy_bars <- ggplot(data = episodioft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "darkgreen", fill = "darkgreen") +
theme_minimal() +
ylab("Joy") +
ggtitle(expression(paste("Joy in ", italic("Season 2")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s02annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 3, inherit.aes = FALSE) +
geom_segment(data = s02annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
s02_joy_line <- ggplot(episodioft, aes(linenumber, ft)) +
geom_path() +
aes(colour = "green") +
geom_text(data = s02annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 3, inherit.aes = FALSE) +
geom_segment(data = s02annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
# All emotions
s02cortonrc <- cbind(linenumber = seq_along(s02textocorto), get_nrc_sentiment(s02textocorto))
s02cortonrc$volume <- "Season 2"
emotions <- s02cortonrc %>% select(linenumber, volume, anger, anticipation, disgust,
fear, joy, sadness, surprise, trust) %>%
melt(id = c("linenumber", "volume"))
names(emotions) <- c("linenumber", "volume", "sentiment", "value")
levels(emotions$sentiment) <- c("Anger", "Anticipation", "Disgust", "Fear",
"Joy", "Sadness", "Surprise", "Trust")
emotions$sentiment = factor(emotions$sentiment, levels(emotions$sentiment)[c(5,8,2,7,6,3,4,1)])
s02emotions <- ggplot(data = emotions, aes(x = linenumber, y = sentiment, fill = value)) +
geom_tile(color="white", size=0.1) +
facet_wrap(~volume, nrow = 3) +
scale_fill_viridis(name="Sentiment\nScore") +
coord_equal() +
labs(x=NULL, y=NULL,
title=expression(paste("Sentiment in ", italic("Season 2")))) +
theme(axis.ticks=element_blank(), axis.text.x=element_blank()) +
scale_x_discrete(expand=c(0,0)) +
theme(axis.text=element_text(size=6)) +
theme(panel.border=element_blank()) +
theme(legend.title=element_text(size=6)) +
theme(legend.title.align=1) +
theme(legend.text=element_text(size=6)) +
theme(legend.position="bottom") +
theme(legend.key.size=unit(0.2, "cm")) +
theme(legend.key.width=unit(1, "cm"))
# Tercera temporada
s03e01 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0301.html")
s03e02 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0302.html")
s03e03 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0303.html")
s03e04 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0304.html")
s03e05 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0305.html")
s03e06 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0306.html")
s03e07 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0307.html")
s03e08 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0308.html")
s03e09 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0309.html")
s03e10 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0310.html")
s03e11 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0311.html")
s03e12 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0312.html")
s03e13 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0313.html")
s03e14 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0314.html")
s03e15 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0315.html")
s03e16 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0316.html")
s03e17 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0317.html")
s03e18 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0318.html")
s03e19 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0319.html")
s03e20 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0320.html")
s03e21 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0321.html")
s03e22 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0322.html")
s03e23 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0323.html")
s03e24 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0324.html")
s03e25 <- analizar_ep("C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0325.html")
## Sentimiento de la temporada 3
s03e01texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0301.html')
s03e01nrc <- cbind(linenumber = seq_along(s03e01texto), get_nrc_sentiment(s03e01texto))
s03e02texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0302.html')
s03e02nrc <- cbind(linenumber = seq_along(s03e02texto), get_nrc_sentiment(s03e02texto))
s03e03texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0303.html')
s03e03nrc <- cbind(linenumber = seq_along(s03e03texto), get_nrc_sentiment(s03e03texto))
s03e04texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0304.html')
s03e04nrc <- cbind(linenumber = seq_along(s03e04texto), get_nrc_sentiment(s03e04texto))
s03e05texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0305.html')
s03e05nrc <- cbind(linenumber = seq_along(s03e05texto), get_nrc_sentiment(s03e05texto))
s03e06texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0306.html')
s03e06nrc <- cbind(linenumber = seq_along(s03e06texto), get_nrc_sentiment(s03e06texto))
s03e07texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0307.html')
s03e07nrc <- cbind(linenumber = seq_along(s03e07texto), get_nrc_sentiment(s03e07texto))
s03e08texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0308.html')
s03e08nrc <- cbind(linenumber = seq_along(s03e08texto), get_nrc_sentiment(s03e08texto))
s03e09texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0309.html')
s03e09nrc <- cbind(linenumber = seq_along(s03e09texto), get_nrc_sentiment(s03e09texto))
s03e10texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0310.html')
s03e10nrc <- cbind(linenumber = seq_along(s03e10texto), get_nrc_sentiment(s03e10texto))
s03e11texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0311.html')
s03e11nrc <- cbind(linenumber = seq_along(s03e11texto), get_nrc_sentiment(s03e11texto))
s03e12texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0312.html')
s03e12nrc <- cbind(linenumber = seq_along(s03e12texto), get_nrc_sentiment(s03e12texto))
s03e13texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0313.html')
s03e13nrc <- cbind(linenumber = seq_along(s03e13texto), get_nrc_sentiment(s03e13texto))
s03e14texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0314.html')
s03e14nrc <- cbind(linenumber = seq_along(s03e14texto), get_nrc_sentiment(s03e14texto))
s03e15texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0315.html')
s03e15nrc <- cbind(linenumber = seq_along(s03e15texto), get_nrc_sentiment(s03e15texto))
s03e16texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0316.html')
s03e16nrc <- cbind(linenumber = seq_along(s03e16texto), get_nrc_sentiment(s03e16texto))
s03e17texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0317.html')
s03e17nrc <- cbind(linenumber = seq_along(s03e17texto), get_nrc_sentiment(s03e17texto))
s03e18texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0318.html')
s03e18nrc <- cbind(linenumber = seq_along(s03e18texto), get_nrc_sentiment(s03e18texto))
s03e19texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0319.html')
s03e19nrc <- cbind(linenumber = seq_along(s03e19texto), get_nrc_sentiment(s03e19texto))
s03e20texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0320.html')
s03e20nrc <- cbind(linenumber = seq_along(s03e20texto), get_nrc_sentiment(s03e20texto))
s03e21texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0321.html')
s03e21nrc <- cbind(linenumber = seq_along(s03e21texto), get_nrc_sentiment(s03e21texto))
s03e22texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0322.html')
s03e22nrc <- cbind(linenumber = seq_along(s03e22texto), get_nrc_sentiment(s03e22texto))
s03e23texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0323.html')
s03e23nrc <- cbind(linenumber = seq_along(s03e23texto), get_nrc_sentiment(s03e23texto))
s03e24texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0324.html')
s03e24nrc <- cbind(linenumber = seq_along(s03e24texto), get_nrc_sentiment(s03e24texto))
s03e25texto <- obtener_texto('C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/0325.html')
s03e25nrc <- cbind(linenumber = seq_along(s03e24texto), get_nrc_sentiment(s03e25texto))
s03texto <- c("s03e01", s03e01texto, "s03e02", s03e02texto, "s03e03", s03e03texto, "s03e04", s03e04texto, "s03e05", s03e05texto, "s03e06", s03e06texto, "s03e07", s03e07texto, "s03e08", s03e08texto, "s03e09", s03e09texto, "s03e10", s03e10texto, "s03e11", s03e11texto, "s03e12", s03e12texto, "s03e13", s03e13texto, "s03e14", s03e14texto, "s03e15", s03e15texto, "s03e16", s03e16texto, "s03e17", s03e17texto, "s03e18", s03e18texto, "s03e19", s03e19texto, "s03e20", s03e20texto, "s03e21", s03e21texto, "s03e22", s03e22texto, "s03e23", s03e23texto, "s03e24", s03e24texto, "s03e25", s03e25texto)
s03nrc <- cbind(linenumber = seq_along(s03texto), get_nrc_sentiment(s03texto))
s03annotatetext <- data.frame(x = c(14, 235), y = rep(2.2, 1),
label = c("Ross sort of asks Rachel out", "Ross has a baby"))
s03annotatearrow <- data.frame(x = c(14, 235),
y1 = rep(2, 1), y2 = c(1.2))
s03plot <- s03nrc %>% select(linenumber, negative, positive) %>% mutate(sentiment = positive - negative)
s03_rawsentiment <- ggplot(data = s03plot, aes(x = linenumber, y = sentiment)) + geom_bar(stat = "identity", position = "identity", color = "midnightblue") +
theme_minimal() +
scale_x_discrete(expand=c(0.02,0)) +
theme(axis.text.y=element_text(margin=margin(r=-10))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank())
s03ft <- as.numeric(get_transformed_values(s03plot$sentiment,
low_pass_size = 3,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
s03ft <- data.frame(cbind(linenumber = seq_along(s03ft), ft = s03ft))
s03_sentiment <- ggplot(data = s03ft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "midnightblue", fill = "midnightblue") +
theme_minimal() +
ylab("Sentiment") +
ggtitle(expression(paste("Sentiment in ", italic("Season 3")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s03annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 4, inherit.aes = FALSE) +
geom_segment(data = s03annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
s03_joy <- pintar_joy_temp(s03nrc, s03texto, "Season 1")
# para sacar dónde van las flechas
write_lines(x = s03texto, 'C:/Users/Leticia/Documents/GitHub/R/Friends/Transcripts/03.txt', append = FALSE)
episodioplot <- s03nrc %>% select(linenumber, joy)
episodioft <- as.numeric(get_transformed_values(episodioplot$joy,
low_pass_size = 3,
x_reverse_len = 240,
scale_vals = TRUE,
scale_range = FALSE))
episodioft <- data.frame(cbind(linenumber = seq_along(episodioft), ft = episodioft))
episodio_joy <- ggplot(data = episodioft, aes(x = linenumber, y = ft)) +
geom_bar(stat = "identity", alpha = 0.8, color = "darkgreen", fill = "darkgreen") +
theme_minimal() +
ylab("Joy") +
ggtitle(expression(paste("Joy in ", italic("Season 1")))) +
theme(axis.title.x=element_blank()) +
theme(axis.ticks.x=element_blank()) +
theme(axis.text.x=element_blank()) +
geom_text(data = s03annotatetext, aes(x,y,label=label), hjust = 0.5,
size = 3, inherit.aes = FALSE) +
geom_segment(data = s03annotatearrow, aes(x = x, y = y1, xend = x, yend = y2),
arrow = arrow(length = unit(0.05, "npc")), inherit.aes = FALSE)
# Joy
s03textocorto <- character()
for (i in seq_along(s03texto)) {
if (i%%68 == 1) s03textocorto[ceiling(i/68)] <- str_c(s03texto[i],
s03texto[i+1],
s03texto[i+2],
s03texto[i+3],
s03texto[i+4],
s03texto[i+5],
s03texto[i+6],
s03texto[i+7],
s03texto[i+8],
s03texto[i+9],
s03texto[i+10],
s03texto[i+11],
s03texto[i+12],
s03texto[i+13],
s03texto[i+14],
s03texto[i+15],
s03texto[i+16],
s03texto[i+17],
s03texto[i+18],
s03texto[i+19],
s03texto[i+20],
s03texto[i+21],
s03texto[i+22],
s03texto[i+23],
s03texto[i+24],
s03texto[i+25],
s03texto[i+26],
s03texto[i+27],
s03texto[i+28],
s03texto[i+29],
s03texto[i+30],
s03texto[i+31],
s03texto[i+32],
s03texto[i+33],
s03texto[i+34],
s03texto[i+35],
s03texto[i+36],
s03texto[i+37],
s03texto[i+38],
s03texto[i+39],
s03texto[i+40],
s03texto[i+41],
s03texto[i+42],
s03texto[i+43],
s03texto[i+44],
s03texto[i+45],
s03texto[i+46],
s03texto[i+47],
s03texto[i+48],
s03texto[i+49],
s03texto[i+50],
s03texto[i+51],
s03texto[i+52],
s03texto[i+53],
s03texto[i+54],
s03texto[i+55],
s03texto[i+56],
s03texto[i+57],
s03texto[i+58],