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

Tutorials for getting the most out of Twitter data.

Word2Vec models with Twitter data using Spark. Blog:

Pretrained BERT model for analysing COVID-19 Twitter data

DSTC6: End-to-End Conversation Modeling Track

Tools for collecting social media data around focal events

Slides and code for the rtweet workshop

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

Node Embeddings in Dynamic Graphs

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).

The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.

Slides for #NICAR18 workshop on collecting and analyzing Twitter data

Sentiment Analysis of Twitter Data (saotd)

nodejs script to delete old tweets

Temporal Walk Based Centrality Metric for Graph Streams

Explore data released by NBC News from their investigation into Russian Twitter Trolls around the 2016 US election

Explore a social network with Neo4j's Twitter data

Performing sentiment analysis on tweets obtained from twitter.

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.

Easy to use web form built on top of the Twitter v2 API. Allows users to collect and merge all data (including fields and expansions). Jupyter notebook provided to combine data into one CSV or Excel file.