GCP AppEngine project of Twitter data and some sample code

A simple python script to receive all links from tweets on a topic you want to follow. This is with and without hashtags and @ mentions,and inclusive of every links shared within that tweet, all Live stream.

Using Twitter API, collected a few tweets and performed sentiment analysis. In this sentiment analysis, classified tweets as positive, negative, and neutral based on Textblob lexicon of words.

Repository for TeamACCE to analyze Twitter data to answer questions related to emoji usaged. Part of Revature's USF Big Data batch.

Collected tweets using Twitter API tweepy, pre-processed the tweets using R, to get rid of the biased users. Calculated the sentiments score of each user in R and python and observe the trends and the differences in results of python and R. Using python, scikit-learn, R, ggplot and e1071 libraries.

A Batch Processing Data pipeline to ingest the twitter data for a particular hashtag using twitter API’s into a csv file in batches into Hadoop filesystem.

Sentiment analysis and text summarization pipeline framework.

Network embedding aided vaccine skepticism detection

Bitcoin Sentiment Analysis

Stand-alone PHP CLI script to batch/post-process downloaded full twitter backup-archive files

Text Mining Analysis of Twitter Data

we are building a sentiment classifier, which will detect how positive or negative each tweet is.

Social Media Mining on Twitter Data

Replication material for "Recovering the French Party Space from Twitter Data" (with Ewen Gallic), presented at EPSA 2019.

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

Thesis for Master's at Mercyhurst University

This library is designed to download public tweets using Search API.

workshop materials

Information retrieval system from web, documents and social media.