Zephery/weiboanalysis resource
微博情感分析,文本分类,毕业设计项目 observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3347
- days_rel: n/a
- days_push: 2323
- n_releases_24m: 0
Adoption not part of the score
1088 stars · 205 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python graduation project performing sentiment analysis and text classification on Weibo posts using SVM, Naive Bayes, and AdaBoost. It is explicitly unmaintained and intended as a reference for learning approaches rather than production use.
Use cases
- sentiment analysis of weibo posts
- chinese text classification with svm and adaboost
- learn how to combine naive bayes with adaboost
- reference for a machine learning graduation project
- pipeline for scraping and classifying social media text
When to choose
- you want to study the workflow of a sentiment analysis pipeline
- you need example code combining SVM, Bayes, and AdaBoost for Chinese social media text
When to avoid
- you need a maintained, production-ready sentiment analysis tool
- you require accurate, bug-free code or documentation
- you need modern NLP approaches like transformers
Facets
learning-resource · maturity abandoned
machine-learning nlp machine-learning education python sentiment-analysis weibo text-classification adaboost svm naive-bayes graduation-project chinese natural-language-processing
1 source
- readme: https://github.com/Zephery/weiboanalysis · fetched 2026-08-28 · fdc851d726ca
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Zephery/weiboanalysis | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="Zephery/weiboanalysis")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem