kuoluo1995/text-classification
CNN,RNN ,Activation functions, Graph Convolutional Networks(GCN) for Text Classification
This project helps anyone who needs to automatically sort large amounts of text into predefined categories. You provide raw text data, like news articles or movie reviews, and it trains different classification models. The output is a highly accurate model that can correctly label new, unseen text, useful for content managers, researchers, or data analysts handling text categorization tasks.
No commits in the last 6 months.
Use this if you need to build and compare advanced text classification models (like CNNs, RNNs, and GNNs) on your own English or Chinese text datasets.
Not ideal if you're looking for a simple, off-the-shelf tool that requires no coding or understanding of machine learning model training.
Stars
32
Forks
3
Language
Python
License
—
Category
Last pushed
Feb 05, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/kuoluo1995/text-classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kyzhouhzau/NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and...
IndexFziQ/GNN4NLP-Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas.
qipeng/gcn-over-pruned-trees
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch...
kenqgu/Text-GCN
A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)
daiquocnguyen/Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)