<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.34820/FK2/NAZYE1</identifier><creators><creator><creatorName nameType="Personal">Purbolaksono, Mahendra Dwifebri</creatorName><givenName>Mahendra Dwifebri</givenName><familyName>Purbolaksono</familyName><nameIdentifier nameIdentifierScheme="ScopusID">57201690050</nameIdentifier><affiliation>Telkom University</affiliation></creator><creator><creatorName>Adiwijaya</creatorName><nameIdentifier nameIdentifierScheme="ScopusID">36338419400</nameIdentifier><affiliation>Telkom University</affiliation></creator><creator><creatorName nameType="Personal">Said Al Faraby</creatorName><givenName>Said Al</givenName><familyName>Faraby</familyName><nameIdentifier nameIdentifierScheme="ScopusID">57191625963</nameIdentifier><affiliation>Telkom University</affiliation></creator></creators><titles><title>Beauty Product Review</title></titles><publisher>Root</publisher><publicationYear>2022</publicationYear><subjects><subject>Computer and Information Science</subject><subject>sentiment analysis</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Purbolaksono, Mahendra Dwifebri</contributorName><givenName>Mahendra Dwifebri</givenName><familyName>Purbolaksono</familyName><affiliation>Telkom University</affiliation></contributor></contributors><dates><date dateType="Submitted">2022-03-06</date><date dateType="Updated">2022-03-06</date></dates><resourceType resourceTypeGeneral="Dataset"/><relatedIdentifiers><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.1109/ICoICT52021.2021.9527489</relatedIdentifier><relatedIdentifier relationType="IsCitedBy" SchemeURI="http://dx.doi.org/" relatedIdentifierType="DOI">10.30865/mib.v5i2.2845</relatedIdentifier></relatedIdentifiers><sizes><size>1611354</size></sizes><formats><format>text/tab-separated-values</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="https://creativecommons.org/publicdomain/zero/1.0/">CC0 Waiver</rights></rightsList><descriptions><description descriptionType="Abstract">This dataset contains the Review of Beauty Product in the Bahasa Indonesia text representation. Each text in the dataset has been categorized into Price, Packaging, Product, and Aroma. Also, each category has been classified into Positive, Neutral, and Negative.</description></descriptions><geoLocations/></resource>