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What is SVM (Support Vector Machine)

Handbook of Research on Smart Technology Applications in the Tourism Industry
It is one of the most effective and simple machine learning methods used in classification. For classification, it is possible to separate the two groups by drawing a boundary between the two groups in one plane. Where this boundary is drawn should be the farthest from the members of both groups. SVM determines how to draw this limit.
Published in Chapter:
Opinion Mining in Tourism: A Study on “Cappadocia Home Cooking” Restaurant
Ibrahim Akın Özen (Faculty of Tourism, Nevşehir Hacı Bektas Veli University, Turkey) and Ibrahim Ilhan (Faculty of Tourism, Nevşehir Hacı Bektas Veli University, Turkey)
DOI: 10.4018/978-1-7998-1989-9.ch003
Abstract
In the tourism sector, online tourist reviews analysis is one of the methods to evaluate the products and services offered by businesses and understand the needs of tourists. These reviews take place in social networks and e-commerce sites in parallel with the developments in information and communication technologies. Tourists generate these reviews during or after their use of the products or services. In the literature, these reviews are referred to as UGC (User Generated Content) or eWOM (electronic word-of-mouth). The scientific evaluation of the textual contents in tourist reviews is done by text mining, which is a sub-area of data mining. This chapter discusses the methods and techniques of opinion mining or sentiment analysis. In addition, aspect-based sentiment analysis and techniques to be used in the application are discussed. A case study was carried out using aspect-based sentiment analysis method. In the application “Cappadocia home cooking” restaurant used tourist reviews.
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