Akhond, Mosta jur RahmanSurjo, Wasim MahmudKhanom, NazifaNadvi, Sadman SakibRoy, Sayan ManoranjanMoontaha, Moury2025-10-052025-10-0520202020-10ID 19341019ID 17101334ID 16101076ID 13201063ID 14101036http://hdl.handle.net/10361/26817Cataloged from PDF version of thesis.Includes bibliographical references (pages 24-27).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020.Opinion 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.38 pagesenBRAC 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.Data analysisOpinion miningNatural language processingNLPMulti criteria decision techniqueMCDT based rankingUniversity ranking systemLanguage and emotions.Data mining.Natural language processing (Computer science).Public opinion--Data processing.Discourse analysis--Data processing.Sentiment analysis.Thesis