@inproceedings{2bf6d68b1b94495b89aefbb99ba84f8e,
title = "OpinionManager: Visual Exploration of Online Reviews in P2P Accommodation",
abstract = "User-generated online reviews are critical in P2P accommodations. They contain a wealth of information about the opinions and experiences of users, which help better understand consumer decisions and improve products and services. However, the huge volume of reviews makes it difficult for potential customers to gain useful insights and for managers to track customer opinions. To address these problems, we first use topic modeling techniques for customer opinion mining. Then, we build a deep learning network for sentiment analysis. Finally, we perform sentiment analysis of the reviews at the aspect level to obtain the sentiment vector representation of the accommodation. Moreover, we design a visual analytic system with a user-friendly interface to facilitate interactive analysis. Evaluation including user and case studies demonstrates the usefulness and effectiveness of this system.",
keywords = "Opinion mining, P2P accommodation, Review analysis, Sentiment analysis, Visual analytic system, Visualization",
author = "Dong Li and Hong Yin and Changbo Wang and Sicheng Song and Kirlin Li and Chenhui Li",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 14th International Symposium on Visual Information Communication and Interaction, VINCI 2021 ; Conference date: 06-09-2021 Through 08-09-2021",
year = "2021",
month = sep,
day = "6",
doi = "10.1145/3481549.3481551",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "14th International Symposium on Visual Information Communication and Interaction, VINCI 2021",
address = "美国",
}