Comparison of Tourism Data Using Double Ranking

S. Hirokawa, Jun Zeng
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引用次数: 1

Abstract

The prompt discovery and mining of user's reputation, opinion and complaint are becoming a hot topic in the field of search engine for Blog and Twitter. This paper proposes "Double Rank" method to analyze the search result using two viewpoints, where the polarity degree of keywords in the search results are evaluated from the viewpoints. Most previous researches concern mainly in positive and negative evaluation as for the polarity degree. Two viewpoints are specified as the search condition in the present paper. The blog articles related to sightseeing are analyzed as case studies, where the characteristics and the sightseeing situation are compared for two prefectures.
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基于双排序的旅游数据比较
快速发现和挖掘用户的声誉、意见和投诉,正成为博客和Twitter搜索引擎领域的热门话题。本文提出了“双秩”方法,利用两个视点对搜索结果进行分析,从两个视点对搜索结果中关键词的极性程度进行评价。以往对极性程度的研究主要集中在积极评价和消极评价两方面。本文指定了两个视点作为搜索条件。本文以观光相关的博客文章为个案,比较两县的特色与观光现况。
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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