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arXiv · 1709.04491

Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis

Łukasz Augustyniak·Krzysztof Rajda·Tomasz Kajdanowicz
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Abstract

This paper fills a gap in aspect-based sentiment analysis and aims to present a new method for preparing and analysing texts concerning opinion and generating user-friendly descriptive reports in natural language. We present a comprehensive set of techniques derived from Rhetorical Structure Theory and sentiment analysis to extract aspects from textual opinions and then build an abstractive summary of a set of opinions. Moreover, we propose aspect-aspect graphs to evaluate the importance of aspects and to filter out unimportant ones from the summary. Additionally, the paper presents a prototype solution of data flow with interesting and valuable results. The proposed method's results proved the high accuracy of aspect detection when applied to the gold standard dataset.

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Łukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz. 2017-09-13. Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis. https://doi.org/10.1007/978-3-319-54472-4_72

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