Feature Representation Extraction Method of Hotel Reviews Using Co-occurrence Restriction and Dependency Graph

Koji Tanaka, Koichi Tsujii, T. Ikoma, Akiyuki Sekiguchi, K. Tsuda
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引用次数: 1

Abstract

Hotel reviews posted on accommodation reservation websites are thought to be valuable information for selecting hotel accommodations and also expected to be used for marketing. Since hotel reviews are various in their expressions, it was necessary to make a thesaurus to obtain useful feature representations. Preparing a thesaurus, however, has problems such that it is laborious and requires occasional revisions. In addition, it is necessary to determine subjects of evaluation in advance and set up synonyms for them. Thus, the analysis of subjects not under consideration becomes difficult. In the present study, we first graphed impression comments using co-occurrence restrictions and dependency structures and then extracted feature representations by clustering the graphs. This enabled us to extract feature representations on evaluation from the impression comments in hotel reviews without setting up subjects of evaluation in advance and a thesaurus.
基于共现约束和依赖图的酒店评论特征表示提取方法
在住宿预订网站上发布的酒店评论被认为是选择酒店住宿的宝贵信息,也有望用于营销。由于酒店评论的表达方式多种多样,因此有必要制作一个词库来获得有用的特征表示。然而,准备一个同义词典有这样的问题,它是费力的,需要偶尔的修订。此外,有必要提前确定评价对象,并为其设置同义词。因此,对未被考虑的主题的分析变得困难。在本研究中,我们首先使用共现限制和依赖结构绘制印象评论图,然后通过聚类图提取特征表示。这使我们能够从酒店评论中的印象评论中提取关于评价的特征表示,而无需事先设置评价主题和同义词库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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