y3nk0/Graph-Based-TC
Graph-based framework for text classification
This tool helps organize collections of documents by automatically assigning them to predefined categories based on their content. You input various texts (like news articles, movie reviews, or web pages) and specify the categories you want to use. The output is your documents sorted into those categories, helping content managers, researchers, or marketers efficiently manage large text datasets.
No commits in the last 6 months.
Use this if you need to automatically sort large volumes of text into existing categories, such as classifying customer feedback, identifying topics in news feeds, or organizing internal documents.
Not ideal if you need to discover new, unexpected themes in your text, as this tool is designed for assigning to known categories rather than exploratory analysis.
Stars
24
Forks
6
Language
Python
License
—
Category
Last pushed
Oct 04, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/y3nk0/Graph-Based-TC"
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)