roomylee/rnn-text-classification-tf
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
This project helps data scientists, machine learning engineers, and NLP researchers build sentiment analysis models. You provide a collection of text snippets labeled as positive or negative, and it outputs a trained model that can classify new text as positive or negative. This tool is for those who need to understand the sentiment expressed in short pieces of text.
118 stars. No commits in the last 6 months.
Use this if you are a data scientist or NLP researcher looking for a foundational Python implementation to experiment with recurrent neural networks for binary sentiment classification.
Not ideal if you need an out-of-the-box solution for complex multi-class text classification or if you prefer using higher-level APIs without direct model implementation details.
Stars
118
Forks
49
Language
Python
License
MIT
Last pushed
May 08, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/roomylee/rnn-text-classification-tf"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
gaussic/text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
TobiasLee/Text-Classification
Implementation of papers for text classification task on DBpedia
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
ShawnyXiao/TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN,...
FreedomIntelligence/TextClassificationBenchmark
A Benchmark of Text Classification in PyTorch