Analysing user reviews in tourism with topic models

Marco Rossetti; Fabio Stella; Longbing Cao; Markus Zanker

doi:10.1007/978-3-319-14343-9_4

Analysing user reviews in tourism with topic models

Marco Rossetti, Fabio Stella, Longbing Cao, Markus Zanker^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

User generated content in general and textual reviews in particular constitute a vast source of information for the decision making of tourists and management and are therefore a key component for e-tourism. This paper explores different application scenarios for the topic model method to process these textual reviews in order to provide accurate decision support and recommendations as well as to build a basis for further analytics. Besides contributing a new model based on the topic model method, this paper also includes empirical evidence from experiments on user reviews from the YELP dataset and from TripAdvisor.

Original language	English
Title of host publication	Information and communication technologies in tourism 2015
Subtitle of host publication	proceedings of the International Conference in Lugano, Switzerland, February 3 - 6, 2015
Editors	Iis Tussyadiah, Alessandro Inversini
Place of Publication	Cham
Publisher	Springer, Springer Nature
Pages	47-58
Number of pages	12
ISBN (Electronic)	9783319143439
ISBN (Print)	9783319143422
DOIs	https://doi.org/10.1007/978-3-319-14343-9_4
Publication status	Published - 2015
Externally published	Yes
Event	ENTER2015 eTourism Conference (22nd : 2015) - Lugano, Switzerland Duration: 3 Feb 2015 → 6 Feb 2015 Conference number: 22nd

Conference

Conference	ENTER2015 eTourism Conference (22nd : 2015)
Abbreviated title	ENTER2015
Country/Territory	Switzerland
City	Lugano
Period	3/02/15 → 6/02/15

Keywords

Web 2.0
Customer reviews
Classification

Access to Document

10.1007/978-3-319-14343-9_4

Cite this

Rossetti, M., Stella, F., Cao, L., & Zanker, M. (2015). Analysing user reviews in tourism with topic models. In I. Tussyadiah, & A. Inversini (Eds.), Information and communication technologies in tourism 2015: proceedings of the International Conference in Lugano, Switzerland, February 3 - 6, 2015 (pp. 47-58). Springer, Springer Nature. https://doi.org/10.1007/978-3-319-14343-9_4

@inproceedings{8f9ddbdde1ae46e2bd527e21e1168789,

title = "Analysing user reviews in tourism with topic models",

abstract = "User generated content in general and textual reviews in particular constitute a vast source of information for the decision making of tourists and management and are therefore a key component for e-tourism. This paper explores different application scenarios for the topic model method to process these textual reviews in order to provide accurate decision support and recommendations as well as to build a basis for further analytics. Besides contributing a new model based on the topic model method, this paper also includes empirical evidence from experiments on user reviews from the YELP dataset and from TripAdvisor.",

keywords = "Web 2.0, Customer reviews, Classification",

author = "Marco Rossetti and Fabio Stella and Longbing Cao and Markus Zanker",

year = "2015",

doi = "10.1007/978-3-319-14343-9_4",

language = "English",

isbn = "9783319143422",

pages = "47--58",

editor = "Iis Tussyadiah and Alessandro Inversini",

booktitle = "Information and communication technologies in tourism 2015",

publisher = "Springer, Springer Nature",

address = "United States",

note = "ENTER2015 eTourism Conference (22nd : 2015), ENTER2015 ; Conference date: 03-02-2015 Through 06-02-2015",

}

Rossetti, M, Stella, F, Cao, L & Zanker, M 2015, Analysing user reviews in tourism with topic models. in I Tussyadiah & A Inversini (eds), Information and communication technologies in tourism 2015: proceedings of the International Conference in Lugano, Switzerland, February 3 - 6, 2015. Springer, Springer Nature, Cham, pp. 47-58, ENTER2015 eTourism Conference (22nd : 2015), Lugano, Switzerland, 3/02/15. https://doi.org/10.1007/978-3-319-14343-9_4

Analysing user reviews in tourism with topic models. / Rossetti, Marco; Stella, Fabio; Cao, Longbing et al.
Information and communication technologies in tourism 2015: proceedings of the International Conference in Lugano, Switzerland, February 3 - 6, 2015. ed. / Iis Tussyadiah; Alessandro Inversini. Cham: Springer, Springer Nature, 2015. p. 47-58.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Analysing user reviews in tourism with topic models

AU - Rossetti, Marco

AU - Stella, Fabio

AU - Cao, Longbing

AU - Zanker, Markus

N1 - Conference code: 22nd

PY - 2015

Y1 - 2015

N2 - User generated content in general and textual reviews in particular constitute a vast source of information for the decision making of tourists and management and are therefore a key component for e-tourism. This paper explores different application scenarios for the topic model method to process these textual reviews in order to provide accurate decision support and recommendations as well as to build a basis for further analytics. Besides contributing a new model based on the topic model method, this paper also includes empirical evidence from experiments on user reviews from the YELP dataset and from TripAdvisor.

AB - User generated content in general and textual reviews in particular constitute a vast source of information for the decision making of tourists and management and are therefore a key component for e-tourism. This paper explores different application scenarios for the topic model method to process these textual reviews in order to provide accurate decision support and recommendations as well as to build a basis for further analytics. Besides contributing a new model based on the topic model method, this paper also includes empirical evidence from experiments on user reviews from the YELP dataset and from TripAdvisor.

KW - Web 2.0

KW - Customer reviews

KW - Classification

U2 - 10.1007/978-3-319-14343-9_4

DO - 10.1007/978-3-319-14343-9_4

M3 - Conference proceeding contribution

SN - 9783319143422

SP - 47

EP - 58

BT - Information and communication technologies in tourism 2015

A2 - Tussyadiah, Iis

A2 - Inversini, Alessandro

PB - Springer, Springer Nature

CY - Cham

T2 - ENTER2015 eTourism Conference (22nd : 2015)

Y2 - 3 February 2015 through 6 February 2015

ER -

Analysing user reviews in tourism with topic models

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this