Research on Guizhou Tourism Marketing Strategy Based on Text Mining and Social Media

With the intensification of market competition and the diversification of consumer demands, how to effectively develop and optimise marketing strategies has become the key to enhancing competitiveness and attractiveness. This paper first introduces the background and theoretical foundation of the application of text mining technology in the tourism industry and explains its importance in analysing large-scale user reviews and social media data. Then, it reveals the challenges and opportunities in the current market environment through empirical analyses of social media data related to tourism in Guizhou. Combining the methods of text classification, topic modelling and sentiment analysis, the in-depth study mines the tourists' perception and evaluation of Guizhou tourism and their influencing factors. Finally, targeted marketing recommendations are proposed, aiming to optimise the marketing strategy of Guizhou tourism and enhance its brand image and market competitiveness.

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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2024-10-28
DOI
https://doi.org/10.54097/kr0q0225
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Guizhou Tourism Marketing Strategy Based on Text Mining and Social Media

Chengqi Guo, Enrui Luo
Highlights in Science Engineering and Technology
E-commerce and Technology Innovations
article

Research on Guizhou Tourism Marketing Strategy Based on Text Mining and Social Media

Chengqi Guo, Enrui Luo
article en

Abstract

With the intensification of market competition and the diversification of consumer demands, how to effectively develop and optimise marketing strategies has become the key to enhancing competitiveness and attractiveness. This paper first introduces the background and theoretical foundation of the application of text mining technology in the tourism industry and explains its importance in analysing large-scale user reviews and social media data. Then, it reveals the challenges and opportunities in the current market environment through empirical analyses of social media data related to tourism in Guizhou. Combining the methods of text classification, topic modelling and sentiment analysis, the in-depth study mines the tourists' perception and evaluation of Guizhou tourism and their influencing factors. Finally, targeted marketing recommendations are proposed, aiming to optimise the marketing strategy of Guizhou tourism and enhance its brand image and market competitiveness.

Highlights in Science Engineering and TechnologyVol. 115
Decent work and economic growth
Openalex Percentile: Top 65%
E-commerce and Technology Innovations
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Research on Guizhou Tourism Marketing Strategy Based on Text Mining and Social Media — Chengqi Guo, Enrui Luo · Highlights in Science Engineering and Technology (2024) | TGRS Research Map | TGRS