A survey on sentiment analysis in tourism
Joint Authors
Sad, Salih
Anis, Sarah
Arif, Mustafa
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 20, Issue 1 (31 Jul. 2020), pp.1-15, 15 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2020-07-31
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
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.
American Psychological Association (APA)
Anis, Sarah& Sad, Salih& Arif, Mustafa. 2020. A survey on sentiment analysis in tourism. International Journal of Intelligent Computing and Information Sciences،Vol. 20, no. 1, pp.1-15.
https://search.emarefa.net/detail/BIM-985455
Modern Language Association (MLA)
Sad, Salih…[et al.]. A survey on sentiment analysis in tourism. International Journal of Intelligent Computing and Information Sciences Vol. 20, no. 1 (Jul. 2020), pp.1-15.
https://search.emarefa.net/detail/BIM-985455
American Medical Association (AMA)
Anis, Sarah& Sad, Salih& Arif, Mustafa. A survey on sentiment analysis in tourism. International Journal of Intelligent Computing and Information Sciences. 2020. Vol. 20, no. 1, pp.1-15.
https://search.emarefa.net/detail/BIM-985455
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 12-15
Record ID
BIM-985455