Data analysis of tweets about a controversial situation of a YouTuber. Used TwitterAPI to fetch tweets and performed sentiment analysis

M.Tech (Software Engineering) Sep 2016 - Final Dissertation Project

This program do sentimental analysis on given hashtag and give output as if its positive sentiment or negative sentiment.

Written using Apache Spark python API as part of CS3800: Advanced Database Systems module.

Twitter Sentiment Analysis using machine learning models.

Scrapped and Analyzed Twitter data using Spark. Run Spark queries on Millions of tweets and trained models for sentiment analysis.

Experiments in the field of Sentiment Analysis using ML Algorithms namely Logistic Regression, Naive Bayes along with tfidf, one hot encoding, bag of words vectorization. Different MLP and RNN models viz. LSTM, GRU, Bidirectional LSTM. Lastly, state of the art BERT model

Given Dataset:-

Analyzes a list of tweets about a topic you feed to the python script and displays a list of tweets with their sentiments

Python program to determine whether the sentiment of a twitter handle is positive, negative or neutral.

mining twitter data, performing NLP (topic modeling, sent analysis), and getting a feel for how Americans view DACA and related immigration topics

We're going to perform sentiment analysis and deploy machine learning techniques to extract a user’s sentiment from the content of their tweets.

Now you can classify the twitter tweets into positive, negative and neutral categories with this amazing end to end project.

Twitter Sentiment Analysis

On May 29 we had the UEFA Champions League final between Real Madrid vs Liverpool. I use the keyword "UCL" to scrape about 10000 tweets from twitter, and then use it to see how twitter users think about it.

ML application that predicts the mental health of a twitterer based on their tweets

Sentiment analysis with different models and libraries

Performing comparative sentiment analysis to determine public reaction on newly introduced Farm Laws of 2020, India by collecting data using Twitter Tweepy API