An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.
-
Updated
Dec 11, 2022 - Python
An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.
Emotion AI (Sentiment Analysis) of Tweets using TextBlob and Django (Python)
This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).
In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.
In this repo i created a twitter sentiment analysis on flask app (web base).
A Hack of the Hour presents to you a product that is meant to strengthen the relationship between a Therapist & their Client. A product that is meant to channel the Client's emotions and feelings anywhere, anytime. Providing a detailed analysis to the therapist, tailored to the Client itself.
The project is about Sentimental Analysis of YouTube Comments. Our Model analyses the comments whether it is positive, negative, or neutral, and gives feedback on the YouTube video. We are using two models to analyze the sentiment. i.e. VADER and TEXT BLOB.
Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment
simple script for downloading Youtube comments without using the Youtube API
Twitter Sentiment analysis with polarity and subjectivity using Python
This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.
In this project we have built a model which takes a dataset as an input andas an output gives the percentage of posive ,negative and neutral tweets in the given dataset. It is done using natural language processing library using scikit learn machine learning libraries such as textblob.
Análise de sentimento de tweets utilizando Tweepy e Textblob.
Fine Grained Sentiment Analysis of Phone Reviews on amazon.in
Sentiment Analysis using Textblob deployed through flask and docker.
Use NLP & Sentiment analysis in Python to determine the impact sentiment has on the price of Bitcoin
Sentiment Analysis of Youtube Video Comments using Youtube Data Api
On this Repo created a Twitter Sentiment Analysis on python GUI (Tkinter).
Investigate the impact of general news headlines on Stock Indices
Try sentiment score prediction :p
Add a description, image, and links to the textblob-sentiment-analysis topic page so that developers can more easily learn about it.
To associate your repository with the textblob-sentiment-analysis topic, visit your repo's landing page and select "manage topics."