Home // ACHI 2020, The Thirteenth International Conference on Advances in Computer-Human Interactions // View article

Time-Variable Analysis of Accommodation Reviews Based on a Hierarchical Topic Model

Authors:
Yujiro Sato
Ryosuke Yamanishi
Yoko Nishihara

Keywords: review analysis; consumer decision support; hLDA.

Abstract:
Accommodation reviews are valuable resources for future guests to know the opinions of users who have already stayed at a particular place before. However, it is difficult for users to extract the information specific to each topic such as facilities, access, and breakfast. We consider that the seasonal features of accommodations are especially important to ensure a comfortable and enjoyable stay. This paper proposes a hierarchical topic analysis with time variation to extract seasonal features for accommodations. The proposed method extracts seasonally important words and shows the similarity of topics that the important words belong to between seasons. In this paper, we discuss the effectiveness of the extracted features as references for guests to choose accommodations.

Pages: 259 to 263

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-761-0

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020