peace195/aspect-based-sentiment-analysis

Aspect Based Sentiment Analysis

46
/ 100
Emerging

This project helps businesses understand customer feedback by pinpointing sentiment towards specific features, like 'food quality' or 'screen size', in reviews and comments. It takes raw text feedback (e.g., restaurant or laptop reviews) and outputs a detailed breakdown of positive, negative, or neutral sentiment for each mentioned aspect. This is ideal for product managers, market researchers, or customer experience teams analyzing customer opinions.

108 stars. No commits in the last 6 months.

Use this if you need to deeply understand not just overall sentiment, but exactly which aspects of your products or services customers love or hate from their text feedback.

Not ideal if you only need a general 'positive' or 'negative' score for entire documents without breaking down sentiment by specific features.

customer-feedback market-research product-management sentiment-analysis customer-experience
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 21 / 25

How are scores calculated?

Stars

108

Forks

38

Language

C++

License

GPL-3.0

Last pushed

Nov 11, 2018

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/peace195/aspect-based-sentiment-analysis"

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