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106309

A survey on sentiment analysis in tourism

Article

Last updated: 22 Jan 2023

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Abstract

Tourism-related websites have turned into an incredible data source that impacts the tourism industry from many points of view. Tourists express their opinions regarding products and services online daily. The interest in understanding and analyzing customer opinions has increased significantly over the past few years as it is vital for the decision making of both customers and companies. Sentiment analysis is the practice of applying natural language processing, statistics and machine learning methods to extract and identify the common opinion behind the text in a review, blog discussion, news, comments or any other document. Sentiment analysis has great potential to directly understand tourists' opinions. This paper tackles a comprehensive overview of the latest update in this field. The main target of this survey is to give a nearly full image of sentiment analysis approaches, techniques, and challenges in analyzing the correct meaning of sentiments and detecting the suitable sentiment polarity in the field of tourism.

DOI

10.21608/ijicis.2020.106309

Keywords

Sentiment Analysis, natural language processing, Machine Learning, Sentiment Classification, tourism

Authors

First Name

sarah

Last Name

anis

MiddleName

Osama

Affiliation

Computer science, Faculty of computer and information sciences, ain-shams university, cairo, egypt

Email

sarrahaniss@gmail.com

City

cairo

Orcid

0000-0002-4337-4948

First Name

Sally

Last Name

Saad

MiddleName

-

Affiliation

computer science, faculty of computer and information sciences, ain-shams university, cairo, egypt

Email

sallysaad@cis.asu.edu.eg

City

cairo

Orcid

0000-0002-7214-5378

First Name

Mostafa

Last Name

Aref

MiddleName

-

Affiliation

Computer Science department Ain Shams University

Email

mostafa.m.aref@gmail.com

City

-

Orcid

0000-0002-1278-0070

Volume

20

Article Issue

1

Related Issue

16074

Issue Date

2020-06-01

Receive Date

2020-08-05

Publish Date

2020-06-01

Page Start

1

Page End

15

Print ISSN

1687-109X

Online ISSN

2535-1710

Article File

IJICIS_Volume 20_Issue 1_Pages 1-15.pdf

PDF . 276.2kB

Link

https://ijicis.journals.ekb.eg/article_106309.html

Detail API

https://ijicis.journals.ekb.eg/service?article_code=106309

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Original Article

Type Code

494

Publication Type

Journal

Publication Title

International Journal of Intelligent Computing and Information Sciences

Publication Link

https://ijicis.journals.ekb.eg/

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Article

Created At

22 Jan 2023