MelihGulum/Sentiment-Analysis-and-Spam-Classification

In this project, sentiment analysis is made from the sentences of the model trained with LSTM and also SMS classification is made with Naive Bayes. Thereafter, a Web Application was made with Flask.

16
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 3 / 25
Maturity 1 / 25
Community 12 / 25

How are scores calculated?

Stars

4

Forks

1

Language

Jupyter Notebook

License

Last pushed

Jan 11, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/MelihGulum/Sentiment-Analysis-and-Spam-Classification"

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