aayux/glove-text-cnn
A text classification model with pretrained GloVe embeddings
This project helps classify text, like movie reviews, into categories such as positive or negative sentiment. You provide raw text data and it outputs a classification for each piece of text. This is designed for anyone needing to automatically categorize large volumes of written content.
No commits in the last 6 months.
Use this if you need to assign sentiment labels or other categories to written content based on patterns learned from example text.
Not ideal if you need to generate new text, summarize long documents, or understand complex relationships between multiple documents.
Stars
14
Forks
11
Language
Python
License
Apache-2.0
Last pushed
Dec 03, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/aayux/glove-text-cnn"
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
ShawnyXiao/TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN,...
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
TobiasLee/Text-Classification
Implementation of papers for text classification task on DBpedia
FreedomIntelligence/TextClassificationBenchmark
A Benchmark of Text Classification in PyTorch