leizhao150/sentiment_classification

情感分类(六分类)

12
/ 100
Experimental

This project helps you automatically understand the emotional tone of written text. You provide text, like customer reviews or social media posts, and it tells you whether the sentiment is 'anger', 'surprise', 'joy', 'sadness', 'love', or 'fear'. Anyone needing to quickly gauge public opinion or user feedback from large volumes of text would find this useful.

No commits in the last 6 months.

Use this if you need to classify text into specific emotional categories to understand attitudes or reactions.

Not ideal if you need to analyze sentiment on a simple positive/negative/neutral scale, or for languages other than Chinese.

customer-feedback-analysis social-media-monitoring user-opinion-mining market-research text-analytics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

7

Forks

Language

Python

License

Last pushed

Nov 25, 2021

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/leizhao150/sentiment_classification"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.