International Journal of Internet, Broadcasting and Communication

  • 제15권2호
  • /
  • Pages.112-117
  • /
  • 2023
  • /
  • 2288-4920(pISSN)
  • /
  • 2288-4939(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Sentiment Analysis of City Tour Using Big Data

  • Se-won Jeon (Department of Immersive Content Convergence, Kwangwoon University) ;
  • Gi-Hwan Ryu (Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University)
  • 투고 : 2023.03.07
  • 심사 : 2023.03.13
  • 발행 : 2023.05.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This study aims to find out what tourists' interests and perceptions are like through online big data. Big data for a total of five years from 2018 to 2022 were collected using the Textom program. Sentiment analysis was performed with the collected data. Sentiment analysis expresses the necessity and emotions of city tours in online reviews written by tourists using city tours. The purpose of this study is to extract and analyze keywords representing satisfaction. The sentiment analysis program provided by the big data analysis platform "TEXTOM" was used to study positives and negatives based on sentiment analysis of tourists' online reviews. Sentiment analysis was conducted by collecting reviews related to the city tour. The degree of positive and negative emotions for the city tour was investigated and what emotional words were analyzed for each item. As a result of big data sentiment analysis to examine the emotions and sentiments of tourists about the city tour, 93.8% positive and 6.2% negative, indicating that more than half of the tourists are positively aware. This paper collects tourists' opinions based on the analyzed sentiment analysis, understands the quality characteristics of city tours based on the analysis using the collected data, and sentiment analysis provides important information to the city tour platform for each region.

키워드

참고문헌

  1. Jung-Hoon Kim, "The Effect of City Tour Service Quality on Tourist' Satisfaction and Behavioral Intention," Tourism Research, Vol.44, No.3, Sep 2019. DOI: https://doi.org/10.32780/ktidoi.2019.44.3.1 
  2. Kim Chul-Won and Lee Tae-Sook, "A study on activating strategies of City Tour Bus," The Korea Academic Society of Tourism and Leisure, Vol.31, No.1, pp.113-129, Jan 2019. DOI: https://doi.org/10.31336/JTLR.2019.1.31.1.113 
  3. Park Jin-Woo and Seong Eun-Hee, "A Study on the Importance and Satisfaction of Busan City Tour Bus Service: Focusing on IPA Analysis," Korea MICE Tourism Society, Vol.23, No.1, pp.167-186, Feb 2023. DOI: https://doi.org/10.35176/JMTR.23.1.9 
  4. You Young-Jun and Lee Seong-Gak, "The Revitalization of Ulsan City Tour as a City Marketing Strategy," The Korean Urban Geographical Society, Vol.16, No.2, pp.91-103, 2013. 
  5. Barbara Bickart and Robert M. Schindler, "Internet Forums as Influential Sources of Consumer Information," Journal of Interactive Marketing, Vol.15, No.3, pp.31-40, 2001. DOI: https://doi.org/10.1002/dir.1014 
  6. So Jin-Soo and Shin Pan-Seop, "Rating Prediction by Evaluation Item through Sentiment Analysis of Restaurant Review," Journal of The Korea Society of Computer and Information, Vol.25, No.6, pp.81-89, June 2020. DOI: https://doi.org/10.9708/jksci.2020.25.06.081 
  7. Sunghoon Kim, "The School Sports Club Big Data Sentiment Analysis," The Journal of Educational Development, Vol. 42, No.2, pp.305-323, Oct 2022. DOI: https://doi.org/10.34245/jed.42.2.305 
  8. Lim Young-hee and Kim Hong-bumm, "A study on the sentiment analysis using big data of hotels online review," Korea Academic Society of Hotel Administration, Vol.28, No.7, pp.105-123, Oct 2019. DOI:10.24992/KJHT.2019.10.28.07.105 
  9. Choi Jeong-yun and You Hyung-sook, "A Study on the Change in the Perception of Busan Tourism Using Social Big Data Analysis: Comparison of the periods before and after the COVID-19," Northeast Asia tourism research, Vol.17, No.3, pp.175-196, Aug 2021. DOI: http://dx.doi.org/10.35173/NATR.17.3.09 
  10. Deuk-Hee Park, Tae-Goo Kim and Gye-Hee Lee, "An analysis of tourism information network using social big data: Focusing on Seoul and Jeju Island," International Journal of Tourism and Hospitality Research, Vol.30, No.8, pp.195-208, 2016. DOI: http://dx.doi.org/10.21298/IJTHR.2016.08.30.8.195 
  11. Se-won Jeon, Seok-Jae Moon and Gi-Hwan Ryu, "Designing the Museum Gamification System," International Journ al of Internet, Broadcasting and Communication, Vol.14, No.2, pp.219-224, May 2022. DOI: http://dx.doi.org/10.7236/IJIBC.2022.14.2.219