iphysresearch/TOP250movie_douban resource
TOP250豆瓣电影短评：Scrapy 爬虫+数据清理/分析+构建中文文本情感分析模型 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 3021
- days_rel: n/a
- days_push: 1502
- n_releases_24m: 0
Adoption not part of the score
1022 stars · 200 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Jupyter Notebook-based educational project that scrapes Douban Top 250 movie short reviews with Scrapy, then performs data cleaning, statistical analysis, visualization, and builds Chinese text sentiment classification models (Naive Bayes, SVM, fastText, CNN, RNN, GRU). It serves as an end-to-end data science project example.
Use cases
- learn web scraping with scrapy
- chinese sentiment analysis example
- analyze douban movie reviews
- text classification tutorial with cnn rnn
- data cleaning and visualization practice project
- build a naive bayes text classifier
When to choose
- learning the full pipeline from scraping to NLP modeling
- studying Chinese text classification with multiple model approaches
- looking for a complete data science project example
When to avoid
- production web scraping of Douban at scale
- a maintained sentiment analysis library
- non-Chinese text analysis
Facets
learning-resource · maturity maintenance
web-scraping nlp data-science data-visualization machine-learning data-science crawlers tutorials python scrapy sentiment-analysis chinese-text douban jupyter-notebook text-classification word-cloud natural-language-processing
1 source
- readme: https://github.com/iphysresearch/TOP250movie_douban · fetched 2026-08-28 · e605f2cb4047
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| iphysresearch/TOP250movie_douban | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="iphysresearch/TOP250movie_douban")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem