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Smart Solution Finder with classification

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dc.contributor.author Hansaka, Salindu
dc.date.accessioned 2019-02-18T09:53:01Z
dc.date.available 2019-02-18T09:53:01Z
dc.date.issued 2018
dc.identifier.citation Hansaka, S. (2018) Smart Solution Finder with classification. BSc. Dissertation. Informatics Institute of Technology en_US
dc.identifier.other 2013099
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/90
dc.description.abstract Fixing errors is a crucial part of developer for a large-scale software. Most of the developer wasting so much time on searching solutions for errors, and this will affect the overall productivity of the software. Therefore, a new software has to be developed, which can easily find a solution for a particular error. The software gets the error and shows a solution to fix it. And a search bot can type a problem and search for a best possible solution for reducing productivity. In order to find the best answer to a question, a classification algorithm is used. Stack overflow is the most popular website of question and answer (Q&A) category. Because of popularity, it is difficult to identify quality answers. The proposed solution addresses this problem by using Random Forest Classifier to predict the quality of the questions. en_US
dc.subject Machine Learning en_US
dc.subject Image processing en_US
dc.title Smart Solution Finder with classification en_US
dc.type Thesis en_US


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