Welcome to the upgraded BRAC University Institutional Repository. We are currently organizing collections after a recent system upgrade. Homepage category counters may temporarily show lower numbers while syncing, but over 27,000 repository items remain safe and accessible. Please use the search bar to find theses, scholarly outputs, and institutional documents.

Opinion mining and MCDT based ranking and university recommendation system

Simple item page
bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorAkhond, Mosta jur Rahman
dc.contributor.authorSurjo, Wasim Mahmud
dc.contributor.authorKhanom, Nazifa
dc.contributor.authorNadvi, Sadman Sakib
dc.contributor.authorRoy, Sayan Manoranjan
dc.contributor.authorMoontaha, Moury
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2025-10-05T06:07:07Z
dc.date.available2025-10-05T06:07:07Z
dc.date.copyright2020
dc.date.issued2020-10
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 24-27).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020.en_US
dc.description.abstractOpinion mining is an approach to natural language processing (NLP) that identi es the emotional tone behind a body of text. This is a popular way for organizations to determine and categorize opinions about a service or idea. It involves analyzing data set from di erent aspects to mine text for sentiment and subjective information which can be used to increase e ciency. Students are unaware of the best institution suited for them due to insu cient information. This paper explores recommendation of perfect universities which the students desire by using data of opinion mining through a Multi Criteria Decision Technique (MCDT) based ranking and university recommendation system to tackle university admission problems.en_US
dc.description.degreeBachelor of Science in Computer Science
dc.description.statementofresponsibilityWasim Mahmud Surjo
dc.description.statementofresponsibilityNazifa Khanom
dc.description.statementofresponsibilitySadman Sakib Nadvi
dc.description.statementofresponsibilitySayan Manoranjan Roy
dc.description.statementofresponsibilityMoury Moontaha
dc.format.extent38 pages
dc.identifier.otherID 19341019
dc.identifier.otherID 17101334
dc.identifier.otherID 16101076
dc.identifier.otherID 13201063
dc.identifier.otherID 14101036
dc.identifier.urihttp://hdl.handle.net/10361/26817
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC 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.
dc.subjectData analysisen_US
dc.subjectOpinion miningen_US
dc.subjectNatural language processingen_US
dc.subjectNLPen_US
dc.subjectMulti criteria decision techniqueen_US
dc.subjectMCDT based rankingen_US
dc.subjectUniversity ranking systemen_US
dc.subject.lcshLanguage and emotions.
dc.subject.lcshData mining.
dc.subject.lcshNatural language processing (Computer science).
dc.subject.lcshPublic opinion--Data processing.
dc.subject.lcshDiscourse analysis--Data processing.
dc.subject.lcshSentiment analysis.
dc.titleOpinion mining and MCDT based ranking and university recommendation systemen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
19341019, 17101334, 16101076, 13201063, 14101036_CSE.pdf
Size:
812.31 KB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Thesis (Bachelor of Science in Computer Science)