Pretrained BERT model for analysing COVID-19 Twitter data

Tutorials for getting the most out of Twitter data.

Word2Vec models with Twitter data using Spark. Blog:

DSTC6: End-to-End Conversation Modeling Track

🐦 Twitter profile dumper with authorization swapping

Twitter API client for Java developers

Slides and code for the rtweet workshop

Node Embeddings in Dynamic Graphs

{rtweet} helpers for automating large or time-consuming downloads

I/O, Transformation, and Analytical Routines for Twitter Data

Slides for #NICAR18 workshop on collecting and analyzing Twitter data

A service for downloading twitter streaming data. You can save the data either in text files on disk, or in a database (MongoDB).

A repo for tracking the number of followers of Congress, the Cabinet, and Governors

A project written in R to get old tweets, it bypass some limitations of Twitter Official API.

Sentiment Analysis of Twitter Data (saotd)

Twitter based sentiment analysis using JAVA and Hadoop. In this project we are doing the sentiment analysis on twitter data to analyse whether the tweets posted by people are positive or negative or neutral by checking the tweets with the AFFIN dictionary which has a set of 2500 words along with the value of each word ranging from -5 to +5 denoting whether tweets are positive or negative.

Archive the Twitter sample firehose and daily trends

A collection of things in various (flood) stages... Mainly tools for building historical Tweet data sets, and telling visual stories...

A python framework for sentiment analysis (Opinion mining) on Twitter data

A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets

An open-source toolkit for analyzing line-oriented JSON Twitter archives with Apache Spark.

Docker-MongoDB-Postgres-Sentiment analysis

Temporal Walk Based Centrality Metric for Graph Streams

nodejs script to delete old tweets

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.

Scripts for scraping, wrangling, geocoding, analyzing, and mapping Twitter data

Implicit Emotion Detective. Demo:

Using Twitter data to perform sentiment analysis on the tweets on the COVID-19 virus

Objective of the project is to build a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share similar interests (Collaborative filtering) and content similarity of the article and user’s tweets (Content-based filtering).

🏛🐦 Screen names of members of U.S. Congress