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A Study on Knowledge Extraction from Official Bangla Documents

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dc.contributor.advisor Hashem, Prof. Dr. M.M.A.
dc.contributor.author Gope, Monika
dc.date.accessioned 2019-01-13T10:38:01Z
dc.date.available 2019-01-13T10:38:01Z
dc.date.copyright 2018
dc.date.issued 2018-12
dc.identifier.other ID 1207554
dc.identifier.uri http://hdl.handle.net/20.500.12228/486
dc.description This thesis is submitted to the Department of Computer Science and Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Engineering in Computer Science and Engineering, December 2018. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 57-61).
dc.description.abstract Bangla is the seventh largest spoken language in the world. However, the information searching in the digital Bangla papers is a tiresome job as its ends up with incorrect and a very few information. It is difficult because wide computational resources for Bangla are very limited. It is literally infeasible to list and analyze the Bangla data manually. Several approaches for identifying and extracting tables, figures, emotion, reviews, and algorithms have been done in English. Furthermore, knowledge extraction in Bangla documents for emotion or opinion detection and sentence extraction for summarization have been explored. However, they do not provide enough textual information for the user for Bangla text content. In this work, we proposed a domain specific composite approaches to find out the agendas, and its decisions from the minutes of meeting of academic council of Khulna University of Engineering & Technology (KUET) with Query-based features, Content-based features, Context-based features and Semantic features. We also demonstrated the techniques to categorize the knowledge where a single query is given by the user and displayed the result sequentially by date. All the operations are presented with sufficient theoretical analysis and experimental results. en_US
dc.description.statementofresponsibility Monika Gope
dc.format.extent 61 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Knowledge Extraction en_US
dc.subject Bangla Documents en_US
dc.subject Domain Specific Composite Approach en_US
dc.title A Study on Knowledge Extraction from Official Bangla Documents en_US
dc.type Thesis en_US
dc.description.degree Master of Science in Engineering in Computer Science and Engineering
dc.contributor.department Department of Computer Science and Engineering


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