Research on All-for-One Tourism Image Perception Based on Web Text and IPA

摘要

Based on the combination of content analysis and IPA, the web text is used to study the all-for-one tourism image perception in Luanchuan County. With the help of the Octopus collector, the online travel notes of Luanchuan County are crawled from large-scale online travel websites such as Ctrip and Mafengwo, combined with Rost Content Mining text analysis software, the high-frequency lexical analysis of the text data is carried out, and the semantic network analysis diagram is drawn. Based on this, the tourism image perception factor coding was performed, and a total of 4 first-level coding elements and 21 second-level coding elements were obtained. The IPA is used to further analyze the tourist image perception quality. The results show that tourists have a good overall perception of the all-for-one tourism image of Luanchuan County, but the importance and performance scores are quite different, and the degree of perception of 10 secondary coding elements such as entertainment and scenic traffic is low. Therefore, tourism management department of Luanchuan County should actively improve, so as to enhance the all-for-one tourism perception image of tourists to Luanchuan County, and strengthen the construction of Luanchuan County's all-for-one tourism demonstration zone.