jerbarnes/semeval22_structured_sentiment
SemEval-2022 Shared Task 10: Structured Sentiment Analysis
This project helps sentiment analysis researchers and practitioners identify the complete structure of opinions within a given text. It takes raw text as input and outputs detailed sentiment graphs, specifying the holder of an opinion, its target, the expression used, and its polarity and intensity. It's designed for natural language processing specialists working on advanced sentiment extraction tasks.
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Use this if you are a researcher or NLP engineer looking for datasets and baseline models to analyze complex sentiment structures across multiple languages.
Not ideal if you need a simple tool for basic keyword-based sentiment detection or if you are not comfortable working with JSON data and model development.
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Python
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Mar 02, 2022
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