際際滷

際際滷Share a Scribd company logo
Mining Users 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 Web



http://www
Users Opinions in Hotel

 Identify Potential Hotel

 Predict what ASPECTS customers like

 Sales and Margin


Sentiment Analysis
Users Opinions in Hotel

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Editor's Notes

  • #4: Process of exploration and analysisBy automatic / semi automatic meansWith little or no human interactionsTo discover meaningful patterns and rulesExponential growth of users 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
  • #6: 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