A course on getting started with the Twitter API v2 for academic research
-
Updated
Mar 14, 2023 - Python
A course on getting started with the Twitter API v2 for academic research
Pretrained BERT model for analysing COVID-19 Twitter data
Tools for collecting social media data around focal events
DSTC6: End-to-End Conversation Modeling Track
A service for downloading twitter streaming data. You can save the data either in text files on disk, or in a database (MongoDB).
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.
Temporal Walk Based Centrality Metric for Graph Streams
Docker-MongoDB-Postgres-Sentiment analysis
A python framework for sentiment analysis (Opinion mining) on Twitter data
FinTwitBERT: Specialized BERT Model for Financial Twitter Analysis. Trained on vast financial tweets, it's ideal for sentiment analysis, trend prediction, and financial NLP tasks.
Implicit Emotion Detective
Automatically pick a winner who Retweeted, Commented, and Followed your Twitter account!
InfoMiner in WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets
Convert links that consist only of user IDs from follower.js provided by X (formerly Twitter) data archive, to a list of usernames
Text Classifier for Twitter data
Utility python package for RG17 and UO17 Twitter tennis data sets.
A web app that helps you discover nearby places of interest, and also displays the latest coronavirus related tweets with the place's name in the tweets
Performing sentiment analysis on tweets obtained from twitter.
Generate egocentric networks for Twitter users 🐦
An application to analyze sentiments of a particular topic using Spark and real-time Twitter feeds (i.e. positive, negative, and neutral). Elasticsearch and Kibana were utilized for storage and visualization respectively
Add a description, image, and links to the twitter-data topic page so that developers can more easily learn about it.
To associate your repository with the twitter-data topic, visit your repo's landing page and select "manage topics."