Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl…

Accurate and fast sentiment scoring of phrases with #hashtags, emoticons :) & emojis 🎉

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

A Web Scraping project to analyze product reviews in Amazon.com. A sentiment analysis is done and the reviews are sorted and highlighted in green or red based on the sentiment score.

Encyclopedic Hub for Sentiment Dictionaries

A rating-based sentiment dataset of IMDB movie reviews (WASSA 2014)

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.

Twitter Feeds were analysed during the Lok Sabha Elections 2019 to guage the overall popularities of each party and predict the winner based solely on the tweets made by the population. This was made as a part of our Data Science course (UE18CS203) at PES University.

This project uses Lexicon-based approach for sentimental analysis of 1000 recent tweets of 4 countries. A sentiment score for each tweet is computed to ascertain the overall nature of the tweet.

Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment

Sentiment analysis, text mining, topic modeling & sentiment prediction

A sentiment analyser in R that pulls tweets related to cryptocurrencies and plots the graphs related to how +ve or -ve the tweets are. Analyses BTC, ETH and LTC

Russian Lexicons for Text Analysis

Extract sentiment of every US public company from financial news headlines

BSc thesis code

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.

A simple sentiment detector open-source module for node.js

Replication materials. Máté Á, Sebők M, Barczikay T (2021) The effect of central bank communication on sovereign bond yields: The case of Hungary. PLoS ONE 16(2): e0245515. https://doi.org/10.1371/journal.pone.0245515

A sentiment visualization app utilizing TensorFlow ML Library for sentiment analysis and D3 JS for visualization