What question did this study set out to answer?

To formulate the aspect sentiment triplet extraction task for identifying targeted aspects, sentiment polarities, and opinion reasons concurrently, and to evaluate a dedicated framework for this task.

April 3, 2020Open Access

Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis

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Authors

HPHaiyun PengNanyang Technological University LXLu XuYunnan University LBLidong BingUF Health Shands Hospital

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Implication

Experimental evaluation demonstrates superior extraction of aspect triplets from review text, highlighting a unified solution for complete fine-grained sentiment analysis.

Key Points

To formulate the aspect sentiment triplet extraction task for identifying targeted aspects, sentiment polarities, and opinion reasons concurrently, and to evaluate a dedicated framework for this task.
Formulated the aspect sentiment triplet extraction (ASTE) task to simultaneously extract what is discussed, sentiment polarity, and the underlying reason.
Developed a two-stage framework that first identifies targets, polarities, and reasons in a unified model and subsequently pairs them into complete triplets.
Evaluated the proposed architecture against strong baseline models adapted from state-of-the-art aspect-based sentiment analysis techniques.
Established initial benchmark performance metrics for the newly defined ASTE task.
Outperformed multiple strong baseline models adapted from state-of-the-art sentiment analysis methods across comparative evaluations.

Cite This Study

Peng et al. (2020) studied this question.

synapsesocial.com/papers/6a15fef1cd14128b76d07ec0 https://doi.org/10.1609/aaai.v34i05.6383

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Implication

Experimental evaluation demonstrates superior extraction of aspect triplets from review text, highlighting a unified solution for complete fine-grained sentiment analysis.

Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

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