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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/104044
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dc.contributor.authorDonato, Giulia-
dc.contributor.authorPaggio, Patrizia-
dc.date.accessioned2022-11-28T13:50:01Z-
dc.date.available2022-11-28T13:50:01Z-
dc.date.issued2017-
dc.identifier.citationDonato, G., & Paggio, P. (2017, September). Investigating redundancy in emoji use: Study on a twitter based corpus. Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 118-126. en_GB
dc.identifier.isbn9781945626951-
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/104044-
dc.description.abstractIn this paper we present an annotated corpus created with the aim of analyzing the informative behaviour of emoji – an issue of importance for sentiment analysis and natural language processing. The corpus consists of 2475 tweets all containing at least one emoji, which has been annotated using one of the three possible classes: Redundant, Non Redundant, and Non Redundant + POS. We explain how the corpus was collected, describe the annotation procedure and the interface developed for the task. We provide an analysis of the corpus, considering also possible predictive features, discuss the problematic aspects of the annotation, and suggest future improvements.en_GB
dc.language.isoenen_GB
dc.publisherThe Association for Computational Linguisticsen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectSocial media -- Semioticsen_GB
dc.subjectWriting -- Interactive multimediaen_GB
dc.subjectInformation retrievalen_GB
dc.subjectNatural language processing (Computer science)en_GB
dc.subjectComputational linguisticsen_GB
dc.subjectVisual communication -- Digital techniquesen_GB
dc.subjectData miningen_GB
dc.subjectEmoticons -- Miscellaneaen_GB
dc.titleInvestigating redundancy in emoji use : study on a twitter based corpusen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysisen_GB
dc.bibliographicCitation.conferenceplaceCopenhagen, Denmark. 08/09/2017.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.18653/v1/W17-5216-
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