vietnh1009/Very-deep-cnn-tensorflow
Very deep CNN for text classification
This tool helps researchers and data scientists categorize large volumes of text documents efficiently. You provide a dataset of text documents (like news articles or product reviews) with their pre-assigned categories, and it trains a model to automatically classify new, uncategorized texts. The output is a trained text classification model and performance metrics showing how well it categorizes text.
No commits in the last 6 months.
Use this if you need to automatically sort or tag large collections of documents into predefined categories, such as categorizing news by topic or reviews by sentiment.
Not ideal if you need to extract specific information from text (like names or dates) or summarize documents, as it focuses solely on broad categorization.
Stars
21
Forks
10
Language
Python
License
MIT
Last pushed
Dec 26, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/vietnh1009/Very-deep-cnn-tensorflow"
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