A survey on sentiment analysis in tourism
anis, S., Saad, S., Aref, M. (2020). A survey on sentiment analysis in tourism. EKB Journal Management System, 20(1), 1-15. doi: 10.21608/ijicis.2020.106309
sarah Osama anis; Sally Saad; Mostafa Aref. "A survey on sentiment analysis in tourism". EKB Journal Management System, 20, 1, 2020, 1-15. doi: 10.21608/ijicis.2020.106309
anis, S., Saad, S., Aref, M. (2020). 'A survey on sentiment analysis in tourism', EKB Journal Management System, 20(1), pp. 1-15. doi: 10.21608/ijicis.2020.106309
anis, S., Saad, S., Aref, M. A survey on sentiment analysis in tourism. EKB Journal Management System, 2020; 20(1): 1-15. doi: 10.21608/ijicis.2020.106309

A survey on sentiment analysis in tourism

International Journal of Intelligent Computing and Information Sciences
Article 1, Volume 20, Issue 1, June 2020, Page 1-15  XML PDF (269.72 K)
Document Type: Original Article
DOI: 10.21608/ijicis.2020.106309
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Authors
sarah Osama anisorcid 1; Sally Saadorcid 2; Mostafa Areforcid 3
1Computer science, Faculty of computer and information sciences, ain-shams university, cairo, egypt
2computer science, faculty of computer and information sciences, ain-shams university, cairo, egypt
3Computer Science department Ain Shams University
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.
Keywords
Sentiment Analysis; Natural Language Processing; Machine Learning; Sentiment Classification; Tourism
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