yuchenlin/lstm_sentence_classifier

LSTM-based Models for Sentence Classification in PyTorch

45
/ 100
Emerging

This helps researchers in natural language processing quickly set up and test sentence classification models using recurrent neural networks. You provide text datasets, often reviews or questions, and it outputs a classification model that can categorize new sentences. It's ideal for academic researchers or students experimenting with deep learning for text analysis.

No commits in the last 6 months.

Use this if you are an NLP researcher or student needing to reproduce or experiment with LSTM-based sentence classification models on common sentiment or question classification datasets.

Not ideal if you need a production-ready system for very large datasets like IMDB, as the simpler models provided are not optimized for speed or scale.

natural-language-processing text-classification sentiment-analysis question-classification deep-learning-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

78

Forks

31

Language

Python

License

MIT

Last pushed

Oct 05, 2020

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/yuchenlin/lstm_sentence_classifier"

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