AlexYangLi/TextClassification
All kinds of neural text classifiers implemented by Keras
This project helps you automatically categorize text documents or short pieces of text into predefined labels, like spam or not spam, or positive, negative, neutral sentiment. You provide text data along with their correct categories, and it outputs a system that can accurately sort new, unlabeled text. This is designed for anyone working with large volumes of text who needs an automated way to organize or analyze text content.
No commits in the last 6 months.
Use this if you need to quickly and efficiently classify large amounts of text data into specific categories, leveraging various advanced neural network models.
Not ideal if you don't have existing labeled text data to train a classification model or if you need a solution for tasks other than text categorization.
Stars
65
Forks
22
Language
Python
License
—
Last pushed
Sep 20, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/AlexYangLi/TextClassification"
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