Download reddit posts based on keywords and perform sentiment analysis on the posts.

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

Extract sentiment of every US public company from financial news headlines

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.

Encyclopedic Hub for Sentiment Dictionaries

Sentiment classifier and polarity lexicon creator

This small project uses TextBlob to analyze twitter data from a user-provided city name

Sentiment analysis of tweets using oauth2 in python.

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.

OpenAI Finance News Sentiment Analysis

Sentiment Analysis on Game Review using TextBlob-lexicon and rule-based sentiment.