Reading and matching Macroeconomic events and Forex news

Performed Sentiment Analysis on Elon Musk's Tweets. Extracting Positive or Negative Sentiment.

Using Twitter Developer API build a Sentiment Analyzer to give check if the emotions of users regarding the topics are positive, negative or neutral using their tweets by method of tokenization and Bag of Words algorithm.🎭🔊⚖📳🙂😐☹

This repo contains Various WebScrapers for different sites and process the retrieved data (reviews) using different NLP techniques such as aspect-based sentiment analysis, polarity sentiment analysis etc.

Application that performs sentiment analysis on Reddit posts based on topics.

Natural Language Processing for Google Play Applications. Where sentiment analysis was used on reviews to decide on new features to recommend developers.

A novel approach towards video-ranking using intent and relevance feedback

To check the frequency of an entity from the data and to classify the data in terms of negative and positive with their polarity scores.

In this project, the goal is to create a Python script to perform a sentiment analysis of the Twitter activity of various news outlets and to present your findings visually.

Repo for Research in the development a General Purpose Sentiment lexicon for the Yoruba Language for use in carrying out sentiment analysis and opinion mining tasks on texts available in Yoruba. This was done using NLP packages in R and based on Bing Luis Lexicon.

This is simple python program code for "Sentiment Analysis - BookMyShow - UserReviews"

Sentiment Scores (Polarity) of ASCII emoticons

In this project, 500 tweets from various news channel have been extracted from twitter and their sentiment analysis is done with the help of polarity score. Also, 2 sports news have been extracted from Time of India website along with captions, headlines and photos.