MirunaPislar/Sarcasm-Detection

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

46
/ 100
Emerging

This project helps identify sarcasm in social media posts, specifically tweets. You input Twitter text, and it determines if the text is sarcastic or not. This tool is designed for data scientists, natural language processing researchers, or anyone analyzing sentiment or tone in social media data.

100 stars. No commits in the last 6 months.

Use this if you need to programmatically detect sarcasm in large volumes of Twitter data for research, social listening, or content analysis.

Not ideal if you need a plug-and-play application for real-time, high-accuracy sarcasm detection in conversations or non-Twitter text without any coding.

social-media-analytics sentiment-analysis natural-language-processing text-mining twitter-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 21 / 25

How are scores calculated?

Stars

100

Forks

33

Language

Python

License

MIT

Last pushed

May 02, 2018

Commits (30d)

0

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