Please use this identifier to cite or link to this item:
https://elibrary.tucl.edu.np/handle/123456789/9844
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Subba Limbu, Sanjiv | - |
dc.date.accessioned | 2022-04-15T09:14:43Z | - |
dc.date.available | 2022-04-15T09:14:43Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | https://elibrary.tucl.edu.np/handle/123456789/9844 | - |
dc.description.abstract | Document 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.iso | en_US | en_US |
dc.publisher | Department of Computer Science & Information Technology | en_US |
dc.subject | Document classification | en_US |
dc.subject | Neural network | en_US |
dc.subject | Artificial intelligence | en_US |
dc.title | Nepali Text Document classification using Deep Neural Network | en_US |
dc.type | Thesis | en_US |
local.institute.title | Central Department of Computer Science and Information Technology | en_US |
local.academic.level | Masters | en_US |
Appears in Collections: | Computer Science & Information Technology |
Files in This Item:
File | Description | Size | Format | |
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Full Thesis.pdf | 1.11 MB | Adobe PDF | View/Open |
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