loretoparisi/bert_text_classifier
Text Classification with BERT
This project helps classify text into predefined categories, which is useful for organizing documents, routing customer inquiries, or analyzing sentiment. You provide raw text data and a list of categories, and it outputs predictions for which category each text belongs to. This is ideal for data analysts, marketers, or anyone needing to automatically sort and understand large volumes of text.
No commits in the last 6 months.
Use this if you need to automatically categorize text documents or short messages, like emails, social media posts, or product reviews.
Not ideal if you need to generate new text, translate languages, or perform tasks other than classification.
Stars
8
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 06, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/loretoparisi/bert_text_classifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lonePatient/Bert-Multi-Label-Text-Classification
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text...
mim-solutions/bert_for_longer_texts
BERT classification model for processing texts longer than 512 tokens. Text is first divided...
OctoberChang/X-Transformer
X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
QData/LaMP
ECML 2019: Graph Neural Networks for Multi-Label Classification
illiterate/BertClassifier
基于PyTorch的BERT中文文本分类模型(BERT Chinese text classification model implemented by PyTorch)