A study on topic models using LDA and Word2Vec in travel route recommendation: focus on convergence travel and tours rev
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ORIGINAL ARTICLE
A study on topic models using LDA and Word2Vec in travel route recommendation: focus on convergence travel and tours reviews Seong-Taek Park 1 & Chang Liu 2 Received: 5 June 2020 / Accepted: 14 October 2020 # Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract At present, we live in prosperity contrary to the past times. As income increases, people enjoy wealth, but more people tend to pursue their own inner happiness: travel. People go to other places or visit foreign countries for business or journey. This study aims to identify the best tour route for foreign tourists in South Korea. Based on the review analysis results, this paper also aims to put forward techniques and methodologies required in practical affairs when developing a travel site or a travel application. On this note, it collected tourists’ reviews at the Tripadvisor official website and conducted text mining technique as well as network analysis using R and Tagxedo, which is a big data analytic tool. The analysis results displayed that there were differences in travel preference, and especially, individual travelers had difficulty traveling by public transportation and selecting travel destinations. Therefore, customized travel routes were suggested for convenient use among travelers. Keywords Convergence travel . Tours reviews . Topic model . LDA . Travel route . Convergence
1 Introduction The rapid development of information and communication technology (ICT) brings many changes to our lives [1]. Many changes are brought by SNS using various devices such as Internet, mobile, and smartphones [2]. Moving along, people search, share, and generate information using smartphones regardless of time and places. The advent of the Fourth Industrial Revolution based on AI, IoT, Cloud, and 5G will speed up the demarcation between digitalization and industries in all areas [3]. Especially this new revolution is expected to bring new technologies that will help largely enhance human lives and eventually bring essential quality services to people [4, 5]. In spite of enjoyable life, people participate in leisure activities as part of their efforts to relieve many stresses coming from social life. Travel is one of the options [6]. At the * Chang Liu [email protected] 1
Division of Software and Convergence, Sunmoon University, 70, Sunmoon-ro 221 beon-gil, Tangjeong-myeon, Asan, 31460 Chungnam, South Korea
2
School of Economics and Management, Taishan University, No. 525 Dongyue Street, Daiyue District, Taian 271000, Shandong, China
beginning, people prefer domestic sites. As the era of globalization arrives, many people tend to go abroad. When we plan a trip, we gather information from diverse sources such as recommendations by friends, tour packages by travel agencies, television programs, blog, Facebook, YouTube, Tripadvisor, Agoda, and Expedia platforms [7]. Now, people play individual roles in introducing and sharing tourist places, food, and entertainment with other users. They act as prosumers. In 2019, 17.5 million f
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