Sarcasm-Detection and Sarcasm-Detection-NLP

Sarcasm-Detection
36
Emerging
Sarcasm-Detection-NLP
28
Experimental
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 16/25
Stars: 9
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 6
Forks: 6
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Sarcasm-Detection

manashpratim/Sarcasm-Detection

Can sarcastic sentences be identified?

This tool helps news analysts, content moderators, or anyone tracking public sentiment by automatically identifying sarcasm in news headlines. You input a list of news headlines, and it outputs whether each headline is likely sarcastic or not. This is useful for understanding the true sentiment behind news titles without manual review.

news-analysis sentiment-analysis media-monitoring content-moderation public-opinion

About Sarcasm-Detection-NLP

Kavitha-Kothandaraman/Sarcasm-Detection-NLP

To build a model to detect whether a sentence is sarcastic or not, using Bidirectional LSTMs

Scores updated daily from GitHub, PyPI, and npm data. How scores work