sfailsthy/chinese-text-classification-with-cnn-tf
中文文本分类(目前是二分类)
This project helps quickly sort Chinese text documents into predefined categories, like identifying spam emails. You provide a list of Chinese text snippets (e.g., email subjects or messages) and get back a classification for each, indicating which category it belongs to (e.g., 'spam' or 'not spam'). It's ideal for analysts, customer service teams, or anyone needing to automate the categorization of large volumes of Chinese text.
No commits in the last 6 months.
Use this if you need to classify Chinese text into two distinct categories, such as identifying spam or categorizing customer feedback.
Not ideal if you need to classify English text, have more than two categories, or require highly nuanced multi-label classification.
Stars
47
Forks
6
Language
Python
License
Apache-2.0
Last pushed
May 27, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/sfailsthy/chinese-text-classification-with-cnn-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
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