kevinscaria/InstructABSA
Instructional learning for Aspect Based Sentiment Analysis [NAACL-2024]
This project helps you analyze customer reviews, social media posts, or any text feedback to understand specific opinions about particular aspects. You provide raw text, and it identifies key topics (like 'service' or 'food') and categorizes the sentiment (positive, negative, neutral) expressed towards each. Market researchers, product managers, and customer support analysts can use this to quickly gauge public opinion on product features or service elements.
167 stars. No commits in the last 6 months.
Use this if you need to automatically extract specific aspects from text feedback and understand the sentiment associated with each one.
Not ideal if you only need a general sentiment score for an entire document rather than detailed aspect-level insights.
Stars
167
Forks
28
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 05, 2024
Commits (30d)
0
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