Research on image perception of Guilin tourism destination based on network text analysis

Research on image perception of Guilin tourism destination based on network text analysis

This article taking the travel notes of the ant mafengwo.com and Ctrip.com as a sample, using the content analysis method and ROST CM6 to analyze the visitors’ perception of the Guilin tourism destination image, through the analysis of the high-frequency vocabulary and the semantics of the network n...

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Main Authors: Liang Rongfang, Luo Shengfeng
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_03019.pdf
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spelling doaj-844d2e7041b540709d655d01a34089912021-02-02T08:55:42ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011180301910.1051/e3sconf/201911803019e3sconf_icaeer18_03019Research on image perception of Guilin tourism destination based on network text analysisLiang Rongfang0Luo Shengfeng1College of Tourism&Landscape Architecture, Guilin University of TechnologyCollege of Tourism&Landscape Architecture, Guilin University of TechnologyThis article taking the travel notes of the ant mafengwo.com and Ctrip.com as a sample, using the content analysis method and ROST CM6 to analyze the visitors’ perception of the Guilin tourism destination image, through the analysis of the high-frequency vocabulary and the semantics of the network notes, and the spindle coding, From eight categories of humanistic attraction, natural attraction, tourism transportation, special food, accommodation conditions, overall impression, tourism consumption and service level, It is found that the tourists’ perception of Guilin tends to be positive. The basic information characteristics, cognitive image, emotional image and willingness to travel are comprehensively explored. The image of Guilin is proposed from the improvement of hardware elements, the innovation of tourism image marketing methods and the improvement of software image elements.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_03019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Liang Rongfang
Luo Shengfeng
spellingShingle Liang Rongfang
Luo Shengfeng
Research on image perception of Guilin tourism destination based on network text analysis
E3S Web of Conferences
author_facet Liang Rongfang
Luo Shengfeng
author_sort Liang Rongfang
title Research on image perception of Guilin tourism destination based on network text analysis
title_short Research on image perception of Guilin tourism destination based on network text analysis
title_full Research on image perception of Guilin tourism destination based on network text analysis
title_fullStr Research on image perception of Guilin tourism destination based on network text analysis
title_full_unstemmed Research on image perception of Guilin tourism destination based on network text analysis
title_sort research on image perception of guilin tourism destination based on network text analysis
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description This article taking the travel notes of the ant mafengwo.com and Ctrip.com as a sample, using the content analysis method and ROST CM6 to analyze the visitors’ perception of the Guilin tourism destination image, through the analysis of the high-frequency vocabulary and the semantics of the network notes, and the spindle coding, From eight categories of humanistic attraction, natural attraction, tourism transportation, special food, accommodation conditions, overall impression, tourism consumption and service level, It is found that the tourists’ perception of Guilin tends to be positive. The basic information characteristics, cognitive image, emotional image and willingness to travel are comprehensively explored. The image of Guilin is proposed from the improvement of hardware elements, the innovation of tourism image marketing methods and the improvement of software image elements.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_03019.pdf
work_keys_str_mv AT liangrongfang researchonimageperceptionofguilintourismdestinationbasedonnetworktextanalysis
AT luoshengfeng researchonimageperceptionofguilintourismdestinationbasedonnetworktextanalysis
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