# stay-leave/weibo-public-opinion-analysis

基于微博数据的舆情分析项目，包括微博爬虫、LDA主题分析和情感分析。

Repository: https://github.com/stay-leave/weibo-public-opinion-analysis
Canonical: https://ross.abutalabs.com/products/weibo-public-opinion-analysis
Language: Python
License Family: other
Last push: 2024-12-08T14:19:30+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1858, "days_push": 633, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1045, forks 136 (observed 2026-08-28T04:03:21.584657+00:00)

## What it is
A Python project for Weibo public opinion analysis that combines a web crawler, LDA topic modeling, sentiment analysis, and spatiotemporal analysis. It also includes topic evolution detection and map-based visualization of sentiment and comment statistics by province.

## Use cases
- scrape weibo comments and user info
- run lda topic modeling on chinese social media text
- compute sentiment scores for weibo comments
- track topic evolution over time
- visualize sentiment by province on a map
- analyze public opinion trends on weibo

## When to choose
- you need an end-to-end weibo scraping and opinion analysis pipeline
- you want lda topic extraction with automatic topic count selection
- you need chinese text sentiment scoring with high accuracy
- you want geospatial visualization of social media sentiment

## When to avoid
- you need a maintained library with a license for production use
- you target platforms other than weibo
- you need a scalable distributed scraping system
- you want a supported api rather than a research project

## Facets
- artifact type: application
- maturity: active
- function: web-scraping, nlp, data-visualization, machine-learning
- domain: data-science, social-media, analytics
- platform: python, cross-platform
- tags: weibo, sentiment-analysis, lda, topic-modeling, public-opinion, crawler, chinese-nlp, natural-language-processing

## Member repositories
- stay-leave/weibo-public-opinion-analysis (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:21.584657+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:02:08.837395+00:00, confidence not recorded.
  - readme: https://github.com/stay-leave/weibo-public-opinion-analysis (fetched 2026-08-28T04:03:21.584657+00:00, sha 339a98d6d033)
- Data as of 2026-08-30T08:39:29.467469+00:00.