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Applying Data mining Techniques on Yelp Challenge Dataset

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dc.contributor.advisor Guha, Sumanta
dc.contributor.author Raja, Vyshnavi
dc.contributor.other Chutiporn, Anutariya
dc.contributor.other Dung, Phan Minh
dc.date.accessioned 2017-05-08T06:56:41Z
dc.date.available 2017-05-08T06:56:41Z
dc.date.issued 2017-05-08
dc.identifier.other AIT
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/854
dc.description.abstract Mining techniques have proven to be effective in exploring data. In my research study I want to use Data mining Techniques on the Yelp Data set. Yelp is one of the best website for users to review the local business of different categories. Users write text reviews about the business and each business have different business categories. There is a Data set challenge given by Yelp to the students to use the data in an innovative way. The problem statement of my research study is to predict the business categories of the business based on the user review. The main idea here is to apply data mining algorithms like Nave Bayes, SVM, Logistic regression, ML-KNN on the yelp data set and predict the categories from the user reviews for these classifiers formed and calculate the accuracy of the classifiers. Keywords: Yelp business label prediction, Multi-label classification, Bag of words, data mining. en_US
dc.description.sponsorship AIT fellowship en_US
dc.publisher AIT en_US
dc.title Applying Data mining Techniques on Yelp Challenge Dataset en_US


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