Applying data mining techniques on yelp challenge dataset
- Pathum Thani, Thailand : Asian Institute of Technology, 2017
- 1 online resource (63 p.) : ill.
- Research studies project report ; no. CS-17-01 .
- Asian Institute of Technology. Research studies project report ; no. CS-17-01 .
A research report submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology
Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2017
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 an Data set challenge given by Yelp to the students to use the data in a 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.