A survey on sentiment analysis in tourism | ||
| International Journal of Intelligent Computing and Information Sciences | ||
| Article 1, Volume 20, Issue 1, June 2020, Pages 1-15 PDF (269.72 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ijicis.2020.106309 | ||
| Authors | ||
| sarah Osama anis1; Sally Saad2; Mostafa Aref3 | ||
| 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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