3inchtime/douban_sentiment_analysis
基于朴素贝叶斯实现的豆瓣影评情感分析
Combines TF-IDF feature extraction with multinomial Naïve Bayes classification, achieving ~80% accuracy on balanced Douban review datasets. Implements Chinese-specific preprocessing via jieba tokenization, stopword filtering, and custom dictionary support to handle domain-specific vocabulary. Provides a modular Python API with scikit-learn pipelines and serialized model persistence for integration into recommendation systems, sentiment monitoring, and content moderation workflows.
104 stars. No commits in the last 6 months.
Stars
104
Forks
22
Language
Python
License
MIT
Category
Last pushed
Jul 03, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/3inchtime/douban_sentiment_analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset...
Robin-WZQ/Text-sentiment-polarity-judgment
基于规则、基于朴素贝叶斯、基于逻辑回归进行文本情感极性分析判断（酒店评论语料）
nhtlongcs/StarListify
StarListify is a Python package that classifies GitHub stars history into organized category...
sharmaroshan/Employee-Reviews
This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking...
sharmaroshan/Coursera-Reviews-Analysis
It is a Natural Language Processing Problem where we have to decide the sentiments of the users...