ScalaConsultants/Aspect-Based-Sentiment-Analysis
💠Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
This project helps you understand specific opinions within longer texts, like customer reviews or survey responses. You provide a document and the particular topics or features you're interested in, and it tells you the sentiment (positive, negative, or neutral) for each topic. It also shows you which parts of the text led to that sentiment, making the results more trustworthy. This is for market researchers, product managers, or anyone who needs to quickly pinpoint opinions on different aspects of a subject.
579 stars. Available on PyPI.
Use this if you need to extract sentiment for specific features, products, or services mentioned within larger bodies of text and want to understand the reasoning behind those classifications.
Not ideal if you only need a general sentiment for an entire document without breaking it down by specific aspects, or if you require legally defensible, perfectly accurate explanations of model behavior.
Stars
579
Forks
94
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
Dependencies
9
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