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Frontiers in Management Research
FMR > Volume 3, Number 4, October 2019

Research on Online Commentary Characteristics of Xitang Homestay Based on Network Text Analysis

Download PDF  (333.2 KB)PP. 157-164,  Pub. Date:July 31, 2019
DOI: 10.22606/fmr.2019.34003

Author(s)
Danmei Zhang
Affiliation(s)
Division of Tourism Management, Shanghai University School of Management, Shanghai, China
Abstract
This paper takes Ctrip's online reviews as the research sample, comprehensively uses ROST Content Mining 6 software and content analysis method to analyze the characteristics of visitors' comments after staying in Xitang homestay, in order to understand the core demand tendency of visitors to Xitang homestay. The study finds that, in terms of both positive and negative reviews, tourists pay the most attention to the facilities of the rooms, geographical location and service attitude of the landlord. Among them, they most concerned about the facilities of the rooms. On this basis, relevant suggestions are put forward to help improve the service quality of Xitang's homestay.
Keywords
Text analysis, homestay, commentary characteristics
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