Parlance
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
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Twitter Data | 847 | 5 months ago | 2 | cc0-1.0 | ||||||
| A list of Twitter datasets and related resources. | ||||||||||
| Tweetfeels | 246 | 5 years ago | 10 | November 11, 2018 | 5 | bsd-3-clause | Python | |||
| Real-time sentiment analysis in Python using twitter's streaming api | ||||||||||
| Daily Coding Problem | 107 | 3 years ago | 2 | mit | Python | |||||
| Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨🎓 website. | ||||||||||
| Labeled Tweet Generator | 102 | 7 years ago | 2 | HTML | ||||||
| Search for tweets and download the data labeled with its polarity in CSV format | ||||||||||
| Twitter_sentiment_challenge | 96 | 5 years ago | 4 | Python | ||||||
| Twitter Sentiment Analysis Challenge for Learn Python for Data Science #2 by @Sirajology on Youtube | ||||||||||
| Twitterscraper | 86 | a year ago | 4 | mit | Python | |||||
| Scrape a User's Twitter data! Bypass the 3,200 tweet API limit for a User! | ||||||||||
| Parlance | 67 | | 2 | 2 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 | ||||||||||
| W2v | 62 | 5 years ago | 1 | mit | Jupyter Notebook | |||||
| Word2Vec models with Twitter data using Spark. Blog: | ||||||||||
| Tweetbotornot2 | 37 | 4 years ago | other | R | ||||||
| 🔍🐦🤖 Detect Twitter Bots! | ||||||||||
| Realtime Twitterdataanalysis | 18 | a year ago | 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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