foamliu/Sentiment-Analysis

细粒度用户评论情感分析

46
/ 100
Emerging

This project helps businesses deeply understand customer feedback by analyzing online user reviews. It takes raw customer comments, like those found on restaurant or product review sites, and identifies sentiment towards specific aspects such as service, location, or product quality. The output is a detailed breakdown of positive, neutral, negative, or unmentioned sentiment for each specific element mentioned in the review. This tool is ideal for product managers, marketing analysts, and customer experience teams looking to pinpoint strengths and weaknesses directly from customer voices.

127 stars. No commits in the last 6 months.

Use this if you need to perform a detailed sentiment analysis on user-generated text, focusing on specific features or attributes mentioned within reviews.

Not ideal if you only need a broad positive/negative sentiment for entire texts or if your data isn't structured as detailed customer reviews.

customer-feedback market-research product-analysis e-commerce hospitality
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

127

Forks

25

Language

Python

License

Apache-2.0

Last pushed

Oct 12, 2018

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/foamliu/Sentiment-Analysis"

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