Nepali Text Document classification using Deep Neural Network
| 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.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.identifier.uri | https://hdl.handle.net/20.500.14540/9844 | |
| 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.academic.level | Masters | en_US |
| local.institute.title | Central Department of Computer Science and Information Technology | en_US |