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A FER, AFINN and Heart-Monitoring system to intergrate into NLP/LLM engine games and more, by detecting the player's heart rate and emotional state throught gameplay to create more reactive scenarios and NPCs
Experiments with web crawling, scraping, and indexing a collection of web documents. Clustering the indexed data with k-means algorithm. Each resulting cluster is assigned a sentiment score using AFINN - a sentiment analysis script.
Utilizando-se da linguagem R, o artigo apresenta uma análise da obra de Raul Seixas por meio da implamentação da API 'Spotifyr' e da função 'getsentiments()' do pacote tidytext.
A web scraping and sentiment data analysis of 707 Star Trek episodes, including The Original Series, The Animated Series, The Next Generation, Deep Space Nine, Voyager, and Enterprise.
Dart Sentiment is a dart module that uses the AFINN-165 wordlist and Emoji Sentiment Ranking to perform sentiment analysis on arbitrary blocks of input text.
Developed a Python program that scrapes tweets off Twitter using twint, based on the user’s input and exports the data as CSV. Extracted and analyzed sentiments using Afinn to examine how positive or negative the tweets are, using Matplotlib to display them on a pie chart.+more
The goal of this project was build recommender systems using K-means and ALS based on the average ratings. It recommends similar books, recommends author based on a book title, recommends high rated books of the author.
This work is a text analysis in R based on the NASA data found in: https://data.nasa.gov/data.json . The text analysis is based in different steps starting with lexicons. Further investigating positive and negative sentiments on a world cloud . Also, correlations between words are analysed.