richliao/textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification
This tool helps you automatically sort documents or pieces of text into categories. You provide a collection of text data, and it identifies the core topics or sentiments within each piece, assigning it to a specific label. It's designed for data analysts or researchers who need to categorize large volumes of textual information efficiently.
1,080 stars. No commits in the last 6 months.
Use this if you need to automatically classify text documents based on their content, such as sorting customer feedback, news articles, or research papers into predefined categories.
Not ideal if you're looking for a tool that summarizes text, generates new text, or performs deep semantic search beyond simple categorization.
Stars
1,080
Forks
374
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 16, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/richliao/textClassifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
kk7nc/HDLTex
HDLTex: Hierarchical Deep Learning for Text Classification
RandolphVI/Hierarchical-Multi-Label-Text-Classification
The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based...
yumeng5/LOTClass
[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
sgrvinod/a-PyTorch-Tutorial-to-Text-Classification
Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification
Alibaba-NLP/HiAGM
Hierarchy-Aware Global Model for Hierarchical Text Classification