Proposal of LDA-Based Sentiment Visualization of Hotel Reviews
Published 1 November 2015
Yu‐Sheng Chen, Lieu-Hen Chen, Yasufumi Takama
Citations28
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TL;DR
An interactive visualization system that presents sentiment words with aspects based on natural language processing and sentiment lexicon is proposed and latent Dirichlet allocation (LDA) is proposed to apply to cluster reviews into several topics in order to improve understandability of visualization.
Abstract
With the growth of user generated contents (UGC), it is important to know consumers' opinions about features or deficiencies of products quickly. Such information is important not only for companies, but also for consumers. Keyword-based visualization and clustering are effective methods to observe summary of opinions. In order to decrease users' effort in examining vast amount of UGC, we proposed an interactive visualization system that presents sentiment words with aspects based on natural language processing and sentiment lexicon. This paper also proposes to apply latent Dirichlet allocation (LDA) to cluster reviews into several topics in order to improve understandability of visualization. This paper explains the developed system with case studies.
Keywords
Computer ScienceSocial Sciences
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