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Proceedings of the First Workshop on Social Media Analytics
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inferred← citeshttps://doi.org/10.1016/j.amc.2019.124599openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.annals.2017.05.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.apgeog.2014.07.017openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2017.08.044openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bdr.2016.05.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bdr.2021.100293openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chb.2016.06.058openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chb.2016.12.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chb.2018.12.024openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chbr.2022.100187openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cie.2019.106063openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cities.2021.103500openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cities.2022.103713openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cognition.2018.01.011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compedu.2016.01.008openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eneco.2024.107593openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107161openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.entcs.2019.08.007openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2014.02.024openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2019.06.027openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.forsciint.2020.110364openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2015.10.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2018.11.040openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e32572openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijar.2019.05.010openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijdrr.2020.101584openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijdrr.2025.105354openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2015.07.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2017.08.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2017.02.007openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ipm.2018.11.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ipm.2019.04.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ipm.2019.102132openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102720openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jbi.2015.11.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jbi.2016.05.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jhtm.2016.01.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jjimei.2022.100093openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jnca.2018.10.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jocs.2017.07.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2014.12.033openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2016.05.047openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2017.11.021openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2018.02.024openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2018.10.020openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.osnem.2017.01.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.osnem.2018.11.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patrec.2016.08.010openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patrec.2017.10.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patrec.2023.06.007openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.physa.2019.04.208openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.physa.2019.122372openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.physrep.2019.05.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.scs.2021.103524openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sysconle.2019.07.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.tbs.2020.05.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.techfore.2018.06.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.technovation.2022.102545openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.techsoc.2018.05.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.tourman.2022.104675openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.tranpol.2021.07.018openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ypmed.2014.01.024openalex-snapshot
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inferred← citeshttps://doi.org/10.1017/9781107165250.020openalex-snapshot
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inferred← citeshttps://doi.org/10.1017/cbo9781316162750.011openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/10106049.2015.1073364openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/2573234x.2022.2100834openalex-snapshot
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inferred← citeshttps://doi.org/10.1089/cyber.2019.0227openalex-snapshot
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inferred← citeshttps://doi.org/10.1103/physreve.87.032133openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3673229openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/0165551519877646openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/01655515251359769openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/1460458215599822openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/1473871613487089openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s12859-018-2197-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s12911-019-0921-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1371/journal.pone.0133505openalex-snapshot
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inferred← citeshttps://doi.org/10.1371/journal.pone.0201933openalex-snapshot
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inferred← citeshttps://doi.org/10.1371/journal.pone.0210689openalex-snapshot
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inferred← citeshttps://doi.org/10.20535/tacs.2664-29132019.1.169082openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/ijswis.2013070101openalex-snapshot
Semantic Characterization of Tweets Using Topic Models
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