taishan1994/prompt_text_classification
基于prompt的中文文本分类。
This project helps quickly categorize Chinese text by analyzing its sentiment or identifying entities mentioned. You input raw Chinese text, and it outputs labels like "喜好" (liking) or "悲伤" (sadness) for sentiment, or identifies specific entities. It's designed for anyone working with large volumes of Chinese text, such as social media analysts, customer service managers, or content moderators, who need to understand the tone or content of discussions.
No commits in the last 6 months.
Use this if you need to rapidly sort Chinese text into predefined categories, especially for sentiment analysis or entity recognition, without extensive manual labeling.
Not ideal if your classification tasks require very nuanced understanding beyond typical emotional categories or specific entity types, or if you need to classify non-Chinese languages.
Stars
55
Forks
6
Language
Python
License
—
Category
Last pushed
May 06, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/taishan1994/prompt_text_classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
fidelity/textwiser
[AAAI 2021] TextWiser: Text Featurization Library
RandolphVI/Multi-Label-Text-Classification
About Muti-Label Text Classification Based on Neural Network.
ThilinaRajapakse/pytorch-transformers-classification
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for...
ntumlgroup/LibMultiLabel
A library for multi-class and multi-label classification
xuyige/BERT4doc-Classification
Code and source for paper ``How to Fine-Tune BERT for Text Classification?``