A simple project to analyze random tweets

1. Twitter data client to collect tweets for a given word and plots on a map of the USA. 2. Displays the top 10 trends for a user entered location. (Data Intensive Computing Course Lab1)

Text Mining Analysis of Twitter Data

Stock price prediction using Bidirectional LSTM and sentiment analysis

Some Data Science tools to obtain information from a Dataset of Tweets

Update to twitter's default javascript application files that are part of the twitter export data feature

Utilizes vader lexicon sentiment analysis to identify major trends and engagement of Donald Trump's Tweets.

Final project for "Natural Language Processing" course at University of Tartu. December 2017.

Sentiment Tweet Analysis with Python

Programs to (a.) Predict optimal moves in the hypothetical game of “Betsy” using Minimax algorithm and Alpha-Beta pruning using suitable evaluation function which considers the structure and rules of the game. (b.) Estimating the geographical origin of a tweet using Naïve Bayes and training classifier on a sample set, labeled by their locations.

Collection of Python Reports.

A distributed tweets analysing system on cloud. Fetching tweets from official API, store to CouchDB then show on web after analysing.

Trump Tweets Sentiment Analysis. Third Assignment for Data Analytics course @unimib18/19.

👍🏻 👎🏻 Applying data analysis and comparing machine learning algorithms in their efficiency in predicting the sentiment(positive/negative/neutral) of tweets.

Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD

📱Android | Detect emotions and sentiment from a tweet

Detect emotions and sentiment from a tweet

Sentiment Analysis on Loksabha Elections 2019

Repository of twitter scraping techniques and tweet analysis. Including an R Shiny App featuring some work.

Tweet Analysis on COVID-19