Cyberbolt/Cemotion
A Chinese NLP library based on BERT for sentiment analysis and general-purpose Chinese word segmentation. | 基于 BERT 的中文 NLP 库，用于中文情感倾向分析、通用领域中文分词。
This tool helps analyze Chinese text by processing raw Chinese sentences or documents. It can determine the sentiment (positive or negative) of the text, providing a confidence score from 0 to 1, and also segment the text into individual words or phrases. Marketers, customer support teams, or researchers dealing with large volumes of Chinese text can use this to understand public opinion or organize data.
222 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly understand the emotional tone of Chinese reviews, social media posts, or customer feedback, or if you need to break down complex Chinese sentences for further analysis.
Not ideal if your primary need is for sentiment analysis or text segmentation in languages other than Chinese.
Stars
222
Forks
25
Language
Python
License
MIT
Category
Last pushed
Aug 02, 2025
Commits (30d)
0
Dependencies
7
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Cyberbolt/Cemotion"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
soujanyaporia/multimodal-sentiment-analysis
Attention-based multimodal fusion for sentiment analysis
juliusberner/emotion_transformer
Contextual Emotion Detection in Text (DoubleDistilBert Model)
ahmedbesbes/multi-label-sentiment-classifier
How to build a multi-label sentiment classifiers with Tez and PyTorch
faezesarlakifar/text-emotion-recognition
Persian text emotion recognition by fine tuning the XLM-RoBERTa Model + Bidirectional GRU layer.
firojalam/multimodal_social_media
multimodal social media content (text, image) classification