Sentiment Analysis in TripAdvisor

被引：116

作者：

Valdivia, Ana ^{[1
]}

Luzon, M. Victoria ^{[2
]}

Herrera, Francisco ^{[1
]}

机构：

[1] Univ Granada, Comp Sci & Artificial Intelligence Dept, Granada, Spain

[2] Univ Granada, Software Engn Dept, Granada, Spain

来源：

IEEE INTELLIGENT SYSTEMS | 2017年 / 32卷 / 04期

关键词：

artificial intelligence; online recommendation systems; sentiment analysis; TripAdvisor;

D O I：

10.1109/MIS.2017.3121555

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Web platforms such as TripAdvisor allow tourists to describe their experiences with hotels, restaurants, and other tourist attractions. This article proposes TripAdvisor as a source of data for sentiment analysis tasks. The authors develop an analysis for studying the matching between users' sentiments and automatic sentiment-detection algorithms. They also discuss some of the challenges regarding sentiment analysis and TripAdvisor. © 2001-2011 IEEE.

引用

页码：72 / 77

页数：6

共 50 条

[1] Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews?
Valdivia, Ana
Victoria Luzon, M.
Herrera, Francisco
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2017, 2017, 10334 : 15 - 25
[2] Sentiment Analysis of Restaurant Customer Reviews on TripAdvisor using Naive Bayes
Larsono, Rachmawan Adi
Sungkono, Kelly Rossa
Sarno, Riyanarto
Wahyuni, Cahyaningtyas Sekar
PROCEEDINGS OF 2019 12TH INTERNATIONAL CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGY AND SYSTEM (ICTS), 2019, : 49 - 54
[3] Cross lingual transfer learning for sentiment analysis of Italian TripAdvisor reviews
Catelli, Rosario
Bevilacqua, Luca
Mariniello, Nicola
di Carlo, Vladimiro Scotto
Magaldi, Massimo
Fujita, Hamido
De Pietro, Giuseppe
Esposito, Massimo
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 209
[4] A Sentiment Analysis Model Based on User Experiences of Dubrovnik on the Tripadvisor Platform
Zakarija, Ivona
Skopljanac-Macina, Frano
Marusic, Hrvoje
Blaskovic, Bruno
APPLIED SCIENCES-BASEL, 2024, 14 (18):
[5] Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods
Valdivia, Ana
Hrabova, Emiliya
Chaturvedi, Iti
Luzon, M. Victoria
Troiano, Luigi
Cambria, Erik
Herrera, Francisco
NEUROCOMPUTING, 2019, 353 : 3 - 16
[6] A cloud-based tool for sentiment analysis in reviews about restaurants on TripAdvisor
Aguero-Torales, M. M.
Cobo, M. J.
Herrera-Viedma, E.
Lopez-Herrera, A. G.
7TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2019): INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT BASED ON ARTIFICIAL INTELLIGENCE, 2019, 162 : 392 - 399
[7] Analyzing TripAdvisor reviews of wine tours: an approach based on text mining and sentiment analysis
Barbierato, Elena
Bernetti, Iacopo
Capecchi, Irene
INTERNATIONAL JOURNAL OF WINE BUSINESS RESEARCH, 2022, 34 (02) : 212 - 236
[8] Language interpretation in travel guidance platform: Text mining and sentiment analysis of TripAdvisor reviews
Chu, Miao
Chen, Yi
Yang, Lin
Wang, Junfang
FRONTIERS IN PSYCHOLOGY, 2022, 13
[9] SENTIMENT ANALYSIS IN TRIPADVISOR: the consumer's voice as a decisive parameter in measuring the quality of information in museums
Dutra, Larissa Fernandes
Gosling, Marlusa de Sevilha
INFORMACAO & SOCIEDADE-ESTUDOS, 2021, 31 (01)
[10] The asymmetric effect of review valence on numerical rating A viewpoint from a sentiment analysis of users of TripAdvisor
Tsao, Hsiu-Yuan
Chen, Ming-Yi
Lin, Hao-Chiang Koong
Ma, Yu-Chun
ONLINE INFORMATION REVIEW, 2019, 43 (02) : 283 - 300

← 1 2 3 4 5 →