Download reddit posts based on keywords and perform sentiment analysis on the posts.
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Updated
Feb 27, 2022 - Python
Download reddit posts based on keywords and perform sentiment analysis on the posts.
Encyclopedic Hub for Sentiment Dictionaries
This project uses BERT(Bidirectional Encoder Representations from Transformers) for Yelp-5 fine-grained sentiment analysis. It also explores various custom loss functions for regression based approaches of fine-grained sentiment analysis.
Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment
This case-study investigates what was world's reaction on Twitter during covid-19 pandemic. Tweets over a period of 7 months were classified as hate, offensive along with emotions involved.
Extract sentiment of every US public company from financial news headlines
This small project uses TextBlob to analyze twitter data from a user-provided city name
How do we know what the world is thinking about a particular thing, stocks, commodities or even celebrities. Sentiment-AI surfs through 70+ articles and gives you the analysis of top articles and their sentiment score.
Real-time Twitch chat analysis application using Python (FastAPI, NLTK, VADER) for backend processing and React (TypeScript, WebSockets) for frontend visualization. Analyzes sentiment, keywords, and emotes (Twitch, FFZ, 7TV)
Sentiment classifier and polarity lexicon creator
Compute the sentiment of each tweet based on the sentiment scores of the terms in the tweet. The sentiment of a tweet is equivalent to the sum of the sentiment scores for each term in the tweet.
Sentiment Analysis on Game Review using TextBlob-lexicon and rule-based sentiment.
Sentiment analysis of tweets using oauth2 in python.
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