<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Aspect Based Sentiment Analysis - Indonesian Restaurant Review</titl><IDNo agency="DOI">doi:10.34820/FK2/UVHF0F</IDNo></titlStmt><distStmt><distrbtr source="archive">Root</distrbtr><distDate>2022-03-04</distDate></distStmt><verStmt source="archive"><version date="2022-03-04" type="RELEASED">1</version></verStmt><biblCit>Romadhony, Ade, 2022, "Aspect Based Sentiment Analysis - Indonesian Restaurant Review", https://doi.org/10.34820/FK2/UVHF0F, Root, V1, UNF:6:iWiGcMePR7+7K8N5tEGWKQ== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Aspect Based Sentiment Analysis - Indonesian Restaurant Review</titl><IDNo agency="DOI">doi:10.34820/FK2/UVHF0F</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Telkom University">Romadhony, Ade</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Root</distrbtr><contact affiliation="Telkom University" email="aderomadhony@telkomuniversity.ac.id">Romadhony, Ade</contact><depositr>Romadhony, Ade</depositr><depDate>2022-03-04</depDate></distStmt></citation><stdyInfo><subject><keyword>Computer and Information Science</keyword><keyword>aspect based sentiment analysis, Indonesian restaurant review</keyword></subject><abstract>The dataset used in Aspect Term Extraction Using Deep Learning-Based Approach on Indonesian Restaurant Reviews paper, by Rachmansyah Adhi Widhianto and Ade Romadhony.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><titlStmt><IDNo agency="doi">10.1109/ICoICT52021.2021.9527472</IDNo></titlStmt><biblCit>Aspect Term Extraction Using Deep Learning-Based Approach on Indonesian Restaurant Reviews. Widhianto, Rachmansyah Adhi and Romadhony, Ade. 2021 9th International Conference on Information and Communication Technology (ICoICT). IEEE.</biblCit></citation><ExtLink URI="https://ieeexplore.ieee.org/document/9527472"/></relPubl></othrStdyMat></stdyDscr><fileDscr ID="f4189" URI="https://dataverse.telkomuniversity.ac.id/api/access/datafile/4189"><fileTxt><fileName>dataset_absa_restaurant.tab</fileName><dimensns><caseQnty>50536</caseQnty><varQnty>3</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:iWiGcMePR7+7K8N5tEGWKQ==</notes></fileDscr><dataDscr><var ID="v39" name="Kalimat #" intrvl="discrete"><location fileid="f4189"/><labl level="variable">Kalimat #</labl><sumStat type="max">859.0</sumStat><sumStat type="stdev">243.87248946734425</sumStat><sumStat type="medn">419.0</sumStat><sumStat type="mean">427.5540802594864</sumStat><sumStat type="vald">50536.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">0.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GS/o92xMzJLtL150TW3yDg==</notes></var><var ID="v38" name="Word" intrvl="discrete"><location fileid="f4189"/><labl level="variable">Word</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UxjzODqg1B0/4MGwGuCuvA==</notes></var><var ID="v37" name="Tag" intrvl="discrete"><location fileid="f4189"/><labl level="variable">Tag</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5/klUETgQFv5k0ay2HspvQ==</notes></var></dataDscr></codeBook>