w4096/text-classification
Text Classification Models - CNN, RCNN, RNN-ATTN [PyTorch]
This tool helps you automatically sort Chinese text documents into predefined categories such as 'Sports', 'Finance', or 'Technology'. You provide a collection of text documents, each with a corresponding category, and the tool learns to classify new, unlabeled documents. This is useful for content managers, data analysts, or anyone needing to organize large volumes of text content efficiently.
No commits in the last 6 months.
Use this if you need to automatically categorize large volumes of Chinese text into existing subject areas and are looking for robust classification models.
Not ideal if your primary goal is the fastest possible classification for long texts, as simpler models might offer similar accuracy with less computational cost.
Stars
11
Forks
—
Language
Python
License
MIT
Last pushed
Oct 13, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/w4096/text-classification"
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