Donnychan1606/bert_IMDb

A repo for NLP model Bert.

27
/ 100
Experimental

This project helps quickly determine if a movie review expresses a positive or negative sentiment. It takes raw text reviews as input and classifies them as either positive or negative, which is useful for content analysts, market researchers, or anyone needing to gauge public opinion from text feedback.

No commits in the last 6 months.

Use this if you need to perform highly accurate sentiment analysis on movie reviews or similar short text data.

Not ideal if you require sentiment analysis for extremely long documents or for languages other than English, as the model is specifically trained on IMDb movie reviews.

sentiment-analysis text-classification movie-reviews market-research customer-feedback
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

How are scores calculated?

Stars

11

Forks

3

Language

Jupyter Notebook

License

Last pushed

Jun 02, 2019

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Donnychan1606/bert_IMDb"

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