RUcore: Rutgers University Community Repository
Yelp analytics
Descriptive
TitleInfo
Title
Yelp analytics
Name
(type = personal)
NamePart
(type = family)
Agrawal
NamePart
(type = given)
Aayush
NamePart
(type = date)
1989-
DisplayForm
Aayush Agrawal
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
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(type = family)
Shende
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(type = given)
Sunil
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Sunil Shende
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Ramaswami
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(type = given)
Suneeta
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Suneeta Ramaswami
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Advisory Committee
Role
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internal member
Name
(type = personal)
NamePart
(type = family)
Birget
NamePart
(type = given)
Jean-Camille
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Jean-Camille Birget
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(type = corporate)
NamePart
Camden Graduate School
Role
RoleTerm
(authority = RULIB)
school
TypeOfResource
Text
Genre
(authority = marcgt)
theses
OriginInfo
DateCreated
(qualifier = exact)
2017
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(type = degree)
2017-01
CopyrightDate
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2017
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Yelp is a website and mobile app which publishes crowd-sourced reviews about local businesses. In this thesis, we analyze data about restaurants from Yelp, specifically the reviews, to predict the star-ratings of the restaurants based on the contents of the reviews. Our results are based on performing sentiment analysis on the reviews, which involves determining whether a review is positive or negative. Various machine learning techniques were applied to the data after appropriate extraction of linguistic features, to create classification models, and to predict star---ratings based on these models.
Subject
(authority = RUETD)
Topic
Computer Science
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_7841
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note
Supplementary File: feature- all-caps
Extent
1 online resource (vii, 29 p. : ill.)
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
Subject
(authority = ETD-LCSH)
Topic
Data mining
Note
(type = statement of responsibility)
by Aayush Agrawal
RelatedItem
(type = host)
TitleInfo
Title
Camden Graduate School Electronic Theses and Dissertations
Identifier
(type = local)
rucore10005600001
Location
PhysicalLocation
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3WM1GT9
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Agrawal
GivenName
Aayush
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2017-01-10 12:03:10
AssociatedEntity
Name
Aayush Agrawal
Role
Copyright holder
Affiliation
Rutgers University. Camden Graduate School
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
RULTechMD
(ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem
(VERSION = 5.1)
windows xp
CreatingApplication
Version
1.5
ApplicationName
pdfTeX-1.40.16
DateCreated
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2017-01-11T16:26:09
DateCreated
(point = end);
(encoding = w3cdtf);
(qualifier = exact)
2017-01-11T16:26:09
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Statistical Profile