AlvinAi96/COI

练手项目:Comment of Interest 电商文本评论数据挖掘 (爬虫 + 观点抽取 + 句子级和观点级情感分析)

33
/ 100
Emerging

This project helps e-commerce businesses or product managers understand customer sentiment by analyzing online reviews. It takes raw e-commerce product reviews, extracts key opinions and the specific aspects they refer to, and then classifies the sentiment (positive, negative, neutral) at both the sentence and aspect level. The output provides structured insights into what customers like or dislike about different product features.

104 stars. No commits in the last 6 months.

Use this if you need to automatically collect and analyze large volumes of e-commerce product reviews to understand customer opinions and sentiment.

Not ideal if you need a plug-and-play solution without any technical setup, or if your primary focus is on non-e-commerce text analysis.

e-commerce analytics customer feedback sentiment analysis product review analysis market research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 16 / 25

How are scores calculated?

Stars

104

Forks

16

Language

Jupyter Notebook

License

Last pushed

Oct 18, 2020

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/AlvinAi96/COI"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.