An analytic framework on food trend of Dhaka city using social media reviews and real time data set

Cataloged from PDF version of thesis report.

Bibliographic Details
Main Author:	Alif, Redwanul Alam
Other Authors:	Mostakim, Moin
Format:	Thesis
Language:	English
Published:	BRAC University 2017
Subjects:	Food trend Restaurant business Social media reviews Real time data set
Online Access:	http://hdl.handle.net/10361/8108

id	10361-8108
record_format	dspace
spelling	10361-81082022-01-26T10:15:45Z An analytic framework on food trend of Dhaka city using social media reviews and real time data set Alif, Redwanul Alam Mostakim, Moin Department of Computer Science and Engineering, BRAC University Food trend Restaurant business Social media reviews Real time data set Cataloged from PDF version of thesis report. Includes bibliographical references (page 93-95). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. I 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. Redwanul Alam Alif B. Computer Science and Engineering 2017-05-09T07:02:39Z 2017-05-09T07:02:39Z 2016 12/5/2016 Thesis ID 12101022 http://hdl.handle.net/10361/8108 en BRAC 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. 95 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Food trend Restaurant business Social media reviews Real time data set
spellingShingle	Food trend Restaurant business Social media reviews Real time data set Alif, Redwanul Alam An analytic framework on food trend of Dhaka city using social media reviews and real time data set
description	Cataloged from PDF version of thesis report.
author2	Mostakim, Moin
author_facet	Mostakim, Moin Alif, Redwanul Alam
format	Thesis
author	Alif, Redwanul Alam
author_sort	Alif, Redwanul Alam
title	An analytic framework on food trend of Dhaka city using social media reviews and real time data set
title_short	An analytic framework on food trend of Dhaka city using social media reviews and real time data set
title_full	An analytic framework on food trend of Dhaka city using social media reviews and real time data set
title_fullStr	An analytic framework on food trend of Dhaka city using social media reviews and real time data set
title_full_unstemmed	An analytic framework on food trend of Dhaka city using social media reviews and real time data set
title_sort	analytic framework on food trend of dhaka city using social media reviews and real time data set
publisher	BRAC University
publishDate	2017
url	http://hdl.handle.net/10361/8108
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An analytic framework on food trend of Dhaka city using social media reviews and real time data set

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