chiayewken/Span-ASTE
Code Implementation of "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".
This tool helps researchers and natural language processing practitioners automatically identify specific aspects, associated opinions, and sentiment polarity from text. You input a sentence or a collection of sentences, and it outputs structured triplets like (aspect target, opinion expression, sentiment polarity). This is primarily used by developers building sentiment analysis systems for tasks like product review analysis or social media monitoring.
186 stars. No commits in the last 6 months.
Use this if you need to extract detailed sentiment information, identifying what specific aspect is being discussed, what opinion is expressed about it, and the sentiment (positive, negative, neutral) in a structured format.
Not ideal if you're looking for a simple, out-of-the-box sentiment classifier that just tells you if a whole sentence is positive or negative, without needing the specific aspect-opinion details.
Stars
186
Forks
49
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 17, 2023
Commits (30d)
0
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