twitter-data

A course on getting started with the Twitter API v2 for academic research

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

Slides and code for the rtweet workshop

Node Embeddings in Dynamic Graphs

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

Slides for #NICAR18 workshop on collecting and analyzing Twitter data

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

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

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

Archive the Twitter sample firehose and daily trends

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

Temporal Walk Based Centrality Metric for Graph Streams

A dashboard for Real-time analysis of Covid-19 in India and a resource tracker eg. Oxygen, Ventilators, Remdesivir along with Live Vaccine Availablity Tracker.

Sentiment Analysis of Twitter Data (saotd)

This project aims to understand the underlying semantics of the text sentence using natural processing techniques to predict reasonable emojis based on the context.

Docker-MongoDB-Postgres-Sentiment analysis

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

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.

This project aims to use the Hadoop framework to analyze unstructured data that we obtain from Twitter and perform sentiment and trend analysis using Hive on MapReduce and Spark on keyword “COVID19”. We then compare the Hive and Spark approaches to determine the best performance.

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

Explore a social network with Neo4j's Twitter data

nodejs script to delete old tweets

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

Music playlist generation capability based on a Twitter account's social media posting history by sentiment analysis to compare the distribution of tweet and song lyric sentiment polarities to generate a list of recommended songs. Integrated using Bidirectional LSTMs for Tweet Sentiment Analysis and NLTK VADER for Song Lyric Sentiment Analysis.