Please use this identifier to cite or link to this item: https://elibrary.tucl.edu.np/handle/123456789/9844
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dc.contributor.authorSubba Limbu, Sanjiv-
dc.date.accessioned2022-04-15T09:14:43Z-
dc.date.available2022-04-15T09:14:43Z-
dc.date.issued2018-
dc.identifier.urihttps://elibrary.tucl.edu.np/handle/123456789/9844-
dc.description.abstractDocument classification task is to assign a document to one or more classes or categories. This report focuses on classification of Nepali and English Text document with Neural Network like RNN(Recurrent Neural Network ) and MNN (Multi Neural Network) and compare the performance of RNN and MNN based on well-known performance evaluation parameter. The result of the Experiment showed RNN outperform MNN.en_US
dc.language.isoen_USen_US
dc.publisherDepartment of Computer Science & Information Technologyen_US
dc.subjectDocument classificationen_US
dc.subjectNeural networken_US
dc.subjectArtificial intelligenceen_US
dc.titleNepali Text Document classification using Deep Neural Networken_US
dc.typeThesisen_US
local.institute.titleCentral Department of Computer Science and Information Technologyen_US
local.academic.levelMastersen_US
Appears in Collections:Computer Science & Information Technology

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