Lok Sabha Election Twitter Analysis Alternatives

Twitter Feeds were analysed during the Lok Sabha Elections 2019 to guage the overall popularities of each party and predict the winner based solely on the tweets made by the population. This was made as a part of our Data Science course (UE18CS203) at PES University.
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Alternatives To aditeyabaral/lok-sabha-election-twitter-analysis
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
shaypal5/awesome-twitter-data 847 0 0 over 2 years ago 0 2 cc0-1.0
A list of Twitter datasets and related resources.
uclatommy/tweetfeels 246 0 0 over 7 years ago 10 November 11, 2018 5 bsd-3-clause Python
Real-time sentiment analysis in Python using twitter's streaming api
Younes-Charfaoui/Daily-Coding-Problem 107 0 0 over 4 years ago 0 2 mit Python
Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨‍🎓 website.
rhnvrm/labeled-tweet-generator 102 0 0 about 9 years ago 0 2 HTML
Search for tweets and download the data labeled with its polarity in CSV format
llSourcell/twitter_sentiment_challenge 96 0 0 over 7 years ago 0 4 Python
Twitter Sentiment Analysis Challenge for Learn Python for Data Science #2 by @Sirajology on Youtube
MatthewWolff/TwitterScraper 86 0 0 about 3 years ago 0 4 mit Python
Scrape a User's Twitter data! Bypass the 3,200 tweet API limit for a User!
castlelemongrab/parlance 67 0 2 almost 4 years ago 12 December 25, 2020 1 other JavaScript
A minimum-dependency ECMAScript client library and CLI tool for Parler – a "free speech" social network that accepts real money to buy "influence" points to boost organic non-advertising content
castanan/w2v 62 0 0 over 7 years ago 0 1 mit Jupyter Notebook
Word2Vec models with Twitter data using Spark. Blog:
mkearney/tweetbotornot2 37 0 0 over 6 years ago 0 0 other R
🔍🐦🤖 Detect Twitter Bots!
kaustav202/RealTime-TwitterDataAnalysis 18 0 0 over 3 years ago 0 7 Python
Collect and process real time twitter data plotting various metrics like volume , proportion, sentiment. Analyze tweet node networks and map them geographically.
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