Research Article

Research on Tourist Perception of Shuanglong Lane Historical and Cultural Block Based on Web Text Analysis

Ke LiZhengzhou University of Light Industry*

* Corresponding author: [email protected]

Abstract

This study uses a big data network text base, based on the cognitive-sentiment model, to perform content analysis techniques such as word frequency analysis, semantic network analysis and sentiment analysis on tourists’ comments, and ultimately obtains tourists’ comprehensive perceptual intentions towards Shuanglong Lane neighbourhoods, which provides a new way of thinking for the study. The findings suggest that the focus should be on the advantage of characteristic resources, create a business model with experience business as the core, enhance the function of the block business, and at the same time, retain the original lifestyle of “old Kaifeng”, which is rich in fireworks, so as to activate the vitality of the block.

Keywords: Shuanglong Lane; historical and cultural block; online text analysis; tourist perception
Published: December 7, 2023
DOI: 10.54254/2753-7064/21/20231467
Volume: CHR Vol.21
pp. 177-183
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