Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Detalhes bibliográficos
Principais autores:	Rahman, Alvee, Rafiq, Fahim Md, Saha, Ramkrishna, Rafian, Ruhit
Outros Autores:	Arif, Hossain
Formato:	Tese
Idioma:	English
Publicado em:	BRAC University 2019
Assuntos:	TextRank C-means Text summarization
Acesso em linha:	http://hdl.handle.net/10361/11425

id	10361-11425
record_format	dspace
spelling	10361-114252022-01-26T10:10:31Z Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques Rahman, Alvee Rafiq, Fahim Md Saha, Ramkrishna Rafian, Ruhit Arif, Hossain Department of Computer Science and Engineering, BRAC University TextRank C-means Text summarization This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Includes bibliographical references (pages 37-39). Cataloged from PDF version of thesis. In this world, it is very difficult and time consuming for humans to summarize large documents, reports, news and research articles. Multiple text summarization techniques play vital roles in picking the important points and sentences thus reducing the time and effort required to read a whole article. Numerous summarization techniques have been applied to the English language but comparatively work on Bengali text summarization is still limited. Furthermore, in our country, Bangladesh, all summarization is mainly done by humans. Keeping that in mind we aim to find a simple way of summarizing Bengali texts with the technology at hand. Text summarization can be of two types, either abstractive or extractive. In this paper we will use extractive text summarization to summarize Bengali passages, using Fuzzy C-Means, TextRank and Aggregate Sentence Scoring methodologies. We have also done a comparative study, among the 3 methodologies we have used and aim to find the most precise methodology for Bengali text summarization. Alvee Rahman Fahim Md Rafiq Ramkrishna Saha Ruhit Rafian B. Computer Science and Engineering 2019-02-18T03:37:17Z 2019-02-18T03:37:17Z 2018 2018-12 Thesis ID 15101036 ID 15101056 ID 15101024 ID 14201038 http://hdl.handle.net/10361/11425 en BRAC University theses 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. 39 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	TextRank C-means Text summarization
spellingShingle	TextRank C-means Text summarization Rahman, Alvee Rafiq, Fahim Md Saha, Ramkrishna Rafian, Ruhit Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques
description	This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
author2	Arif, Hossain
author_facet	Arif, Hossain Rahman, Alvee Rafiq, Fahim Md Saha, Ramkrishna Rafian, Ruhit
format	Thesis
author	Rahman, Alvee Rafiq, Fahim Md Saha, Ramkrishna Rafian, Ruhit
author_sort	Rahman, Alvee
title	Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques
title_short	Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques
title_full	Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques
title_fullStr	Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques
title_full_unstemmed	Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques
title_sort	bengali text summarization using textrank, fuzzy c-means and aggregated scoring techniques
publisher	BRAC University
publishDate	2019
url	http://hdl.handle.net/10361/11425
work_keys_str_mv	AT rahmanalvee bengalitextsummarizationusingtextrankfuzzycmeansandaggregatedscoringtechniques AT rafiqfahimmd bengalitextsummarizationusingtextrankfuzzycmeansandaggregatedscoringtechniques AT saharamkrishna bengalitextsummarizationusingtextrankfuzzycmeansandaggregatedscoringtechniques AT rafianruhit bengalitextsummarizationusingtextrankfuzzycmeansandaggregatedscoringtechniques
_version_	1814307784439627776

Bengali text summarization using TextRank, Fuzzy C-means and aggregated scoring techniques

Registros relacionados