iamdsc/humor_detection

Natural Language Processing Project - CS622

35
/ 100
Emerging

This tool helps content creators, marketers, or social media managers automatically identify if a piece of text is humorous or not. You input text like one-liners or longer jokes, and it tells you whether that text is likely to be perceived as funny. It's designed for anyone who needs to quickly sort or filter large volumes of text based on humor.

No commits in the last 6 months.

Use this if you need to programmatically categorize short texts, social media posts, or marketing copy by their humorous content.

Not ideal if you need a nuanced understanding of humor beyond a simple 'funny' or 'not funny' classification, or if your texts are highly domain-specific and not well-represented by general jokes or news headlines.

content-moderation social-listening marketing-automation audience-engagement text-categorization
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

8

Forks

4

Language

Jupyter Notebook

License

MIT

Last pushed

Sep 17, 2019

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/iamdsc/humor_detection"

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