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Mining User’s Opinions               in Hotel              TEY JUN HONG U095074X
Content      Background Formulating the problem   Data Mining Process       Techniques        Analysis
What is Data Mining? Extraction of patterns Automatic Means Little human Interactions
The Webhttp://www
User’s Opinions in Hotel Identify Potential Hotel Predict what ASPECTS customers like Sales and MarginSentiment Analysis
User’s Opinions in Hotel
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  • Process of exploration and analysisBy automatic / semi automatic meansWith little or no human interactionsTo discover meaningful patterns and rulesExponential growth of user’s opinionsLimitations of human analysisAccuracy of human analysisMachines can be trained to take over human analysis with advanced computer technology and it is done with LOW COST
  • Increase in social media and web user Increase in valuable opinion oriented data in Hotel due to web expansionIdentify potential hotel to stay by looking at the aspectsIdentify best prospects (ASPECTS), and retain customersPredict what ASPECTS customers like and promote accordinglyLearn parameters influencing trends in sales and margins Identification of opinions for customers
  • Transcript of "Fypca5"

    1. 1. Mining User’s Opinions in Hotel TEY JUN HONG U095074X
    2. 2. Content  Background Formulating the problem  Data Mining Process  Techniques  Analysis
    3. 3. What is Data Mining? Extraction of patterns Automatic Means Little human Interactions
    4. 4. The Webhttp://www
    5. 5. User’s Opinions in Hotel Identify Potential Hotel Predict what ASPECTS customers like Sales and MarginSentiment Analysis
    6. 6. User’s Opinions in Hotel
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