Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis
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.
Cite
@article{arxiv.1709.04491,
title = {Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis},
author = {Łukasz Augustyniak and Krzysztof Rajda and Tomasz Kajdanowicz},
journal= {arXiv preprint arXiv:1709.04491},
year = {2017}
}