<?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>Dataset Analisis Sentimen Berbasis X Terhadap Posting Bencana Gempa Bumi Menggunakan Pembelajaran Mesin</titl><IDNo agency="DOI">doi:10.34820/FK2/AFRISQ</IDNo></titlStmt><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><distDate>2025-01-19</distDate></distStmt><verStmt source="archive"><version date="2025-01-19" type="RELEASED">1</version></verStmt><biblCit>Adhyaksa, Resky, 2025, "Dataset Analisis Sentimen Berbasis X Terhadap Posting Bencana Gempa Bumi Menggunakan Pembelajaran Mesin", https://doi.org/10.34820/FK2/AFRISQ, Telkom University Dataverse, V1, UNF:6:1a7aNVABMKN7LOSOscnV1g== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Dataset Analisis Sentimen Berbasis X Terhadap Posting Bencana Gempa Bumi Menggunakan Pembelajaran Mesin</titl><IDNo agency="DOI">doi:10.34820/FK2/AFRISQ</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Telkom University">Adhyaksa, Resky</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><contact affiliation="Telkom University" email="reskyadhyaksa@student.telkomuniversity.ac.id">Adhyaksa, Resky</contact><depositr>Adhyaksa, Resky</depositr><depDate>2025-01-19</depDate></distStmt></citation><stdyInfo><subject><keyword>Computer and Information Science</keyword><keyword>Other</keyword></subject><abstract date="2025-01-19">Dataset ini berisi 10.079 data tweet yang terkait dengan gempa bumi Palu, yang diposting antara 28 September 2018 hingga 14 November 2018. Setiap tweet telah diberi label sentimen untuk analisis, dengan 4.461 tweet berlabel negatif dan 5.617 tweet berlabel positif. Dataset ini memberikan gambaran tentang respons masyarakat di media sosial selama periode pascabencana, yang dapat digunakan untuk analisis sentimen, identifikasi pola komunikasi, atau studi dampak bencana dalam konteks digital.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat/></stdyDscr><fileDscr ID="f18479" URI="https://dataverse.telkomuniversity.ac.id/api/access/datafile/18479"><fileTxt><fileName>labeled_data.tab</fileName><dimensns><caseQnty>10078</caseQnty><varQnty>2</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:1a7aNVABMKN7LOSOscnV1g==</notes></fileDscr><dataDscr><var ID="v5012" name="label" intrvl="discrete"><location fileid="f18479"/><labl level="variable">label</labl><sumStat type="mean">0.5573526493351848</sumStat><sumStat type="min">0.0</sumStat><sumStat type="stdev">0.4967244267860944</sumStat><sumStat type="medn">1.0</sumStat><sumStat type="vald">10078.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">1.0</sumStat><sumStat type="invd">0.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:UMGUZT+YVMARpjRKycoZbg==</notes></var><var ID="v5011" name="final_text" intrvl="discrete"><location fileid="f18479"/><labl level="variable">final_text</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gHzwwUmTW7LVnovqLq8CUA==</notes></var></dataDscr></codeBook>