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035 _a.b1234610x
099 9 _aAIT RSPR no.IM-17-12
100 1 _aAkhileshwar, Chennu
245 1 0 _aIdentifying deplicate questions on Quora
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2017
300 _a40 leaves :
_bill.
490 1 _aResearch studies project report ;
_vno. IM-17-12
500 _aA research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management, School of Engineering and Technology
502 _aResearch studies project report (M. Eng.) - Asian Institute of Technology, 2017
520 _aFinding whether the two questions are asking the same thing can be challenging, as word choice and sentence structure may vary signi{uFB01}cantly. Some of the natural language processing techniques have been found to have the limited success in separating related question from duplicate ones. Quora is a very good source which helps the users to exchange their knowledge and they also face this problem of duplicate questions. Since Quora gives importance to similar questions problem, it want to provide a good experience for both the question seeker and writer. Using a data set question pairs provided by Quora in Kaggle, we extract the features from the data set by using some methods like common word share, Jaccard Similarity Coefcient, Cosine Similarity, Tf-Idf. After extracting the features from the data we use some machine learning algorithms to build a model using training data. By using this model we get the {uFB01}nal values of the test data set.
650 0 _aMachine learning
_xTechnique
700 1 _aSumanta, Guha,
_eChairperson
700 1 _aPhan, Minh Dung,
_eExamination Committee
700 1 _aBohez, Erik L.J.,
_eExamination Committee
710 2 _aAIT Fellowship,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. IM-17-12
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B06933
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