LeqsNaN/SarDeCK

The code for "Sarcasm Detection with Commonsense Knowledge"

12
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Experimental

This project helps researchers and social scientists automatically identify sarcasm in text. You input a dataset of text examples, along with specified commonsense knowledge resources, and it outputs a trained model capable of classifying whether new text is sarcastic or not. This is for computational linguists or sentiment analysis researchers analyzing social media, reviews, or conversational data.

No commits in the last 6 months.

Use this if you need to build and evaluate models for sarcasm detection, particularly if you want to experiment with integrating commonsense knowledge to improve accuracy.

Not ideal if you're looking for an off-the-shelf tool for immediate sarcasm detection without model training or advanced configuration.

sarcasm-detection sentiment-analysis natural-language-processing computational-linguistics social-media-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
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Language

Python

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Last pushed

Mar 23, 2022

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