YanZehong/CS5242-ABSC
NUS CS5242 A+ project
This project helps sentiment analysts and product managers understand customer opinions about specific aspects of a product or service. It takes customer review text as input and outputs the sentiment (positive, negative, or neutral) for different attributes mentioned in the review, like "food" or "price." Researchers studying natural language processing and sentiment analysis would find this useful for experimenting with different model architectures.
No commits in the last 6 months.
Use this if you need to classify the sentiment of particular aspects within a sentence, rather than the overall sentiment of the entire sentence.
Not ideal if you're looking for a ready-to-use, deployable solution for general sentiment analysis without needing to dive into model implementation details.
Stars
8
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 10, 2023
Commits (30d)
0
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