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dc.contributor.advisorMostakim, Moin
dc.contributor.authorAlif, Redwanul Alam
dc.date.accessioned2017-05-09T07:02:39Z
dc.date.available2017-05-09T07:02:39Z
dc.date.copyright2016
dc.date.issued2016-12-05
dc.identifier.otherID 12101022
dc.identifier.urihttp://hdl.handle.net/10361/8108
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 93-95).
dc.description.abstractI worked with sentiment analysis and supervised machine learning to find pattern and predict the current food trend and business The current food trend of Dhaka city depends on the type of food, the location of the restaurants, their overall services, and the taste of the available food items. In my analysis, I have shown the public sentiment on food trend depending on two (2) major types of food: Local or Deshi and Foreign food items. I have also analyzed the food trend depending on the reviews and rating people shared on social media based on their location according to the basis of taste, price, and service. Through the graph that I achieved from the collected data, I can also analyze the food business of Dhaka city depending on the food types and location of the restaurants. In my research I have used the data of reviews and ratings from different social media groups. Based on these reviews sorted according to locations like Dhanmondi, Banani, Gulshan, Khilgaon and Shyamoli I have analyzed the taste rating, price rating and service ratings. I was able to successfully show the food trend and restaurant business pattern of these locations based on the public reviews using necessary graphs.. This is how by applying supervised machine learning I have analyzed the public sentiment on restaurant and food trend of Dhaka city.en_US
dc.description.statementofresponsibilityRedwanul Alam Alif
dc.format.extent95 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis 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.subjectFood trenden_US
dc.subjectRestaurant businessen_US
dc.subjectSocial media reviewsen_US
dc.subjectReal time data seten_US
dc.titleAn analytic framework on food trend of Dhaka city using social media reviews and real time data seten_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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