Title page for etd-0819114-155606


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URN etd-0819114-155606
Author Chia-Che Chiang
Author's Email Address No Public.
Statistics This thesis had been viewed 5343 times. Download 1064 times.
Department Information Management
Year 2014
Semester 1
Degree Master
Type of Document
Language English
Title Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums
Date of Defense 2013-07-31
Page Count 52
Keyword
  • Latent Dirichlet allocation
  • Text classification
  • Word-sense disambiguation
  • SVM
  • WordNet
  • Abstract The advance of user-generated content (UGC) inspires knowledge sharing among Internet users. A good example is the well-known travel site TripAdvisor.com, which enables users to share their experiences and express their opinions on attractions, accommodations, restaurants, etc. The UGC about travel provide precious information to the users as well as staff in travel industry. In particular, how to find reviews that are noteworthy to hotel is critical to the success of hotels in the competitive travel industry.
    We have employed two hotel managers to conduct a preliminary examination on the hotel reviews of Tripadvisor.com and found noteworthy reviews can be characterized by their content features, sentiment features, and quality. Through the experiments using tripadvisor.com data, we found that all the features are important in identifying noteworthy hotel reviews. Specifically, content features have been shown to have most impact, followed by sentiment and quality.
    Advisory Committee
  • Shie-Jue Lee - chair
  • Keng-Pei Lin - co-chair
  • Tsang-Hsiang Cheng - co-chair
  • San-Yih Hwang - advisor
  • Files
  • etd-0819114-155606.pdf
  • Indicate in-campus at 1 year and off-campus access at 1 year.
    Date of Submission 2014-09-22

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