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dc.contributor.authorChakravarthi, Bharathi Raja
dc.contributor.authorVarma, Pranav
dc.contributor.authorArcan, Mihael
dc.contributor.authorMcCrae, John P.
dc.contributor.authorBuitelaar, Paul
dc.contributor.authorShardul, Suryawanshi
dc.date.accessioned2020-07-08T11:33:57Z
dc.date.available2020-07-08T11:33:57Z
dc.date.issued2020-05-11
dc.identifier.citationChakravarthi, Bharathi Raja, Varma, Pranav, Arcan, Mihael, McCrae, John P., Buitelaar, Paul, & Shardul, Suryawanshi. (2020). A dataset for troll classification of Tamil memes. Paper presented at the Language Resources and Evaluation Conference (LREC 2020) 5th Workshop on Indian Language Data: Resources and Evaluation, Marseille, France, 11-16 May.en_IE
dc.identifier.urihttp://hdl.handle.net/10379/16061
dc.description.abstractSocial media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among people. This exchange is not free from offensive, trolling or malicious contents targeting users or communities. One way of trolling is by making memes, which in most cases combines an image with a concept or catchphrase. The challenge of dealing with memes is that they are region-specific and their meaning is often obscured in humour or sarcasm. To facilitate the computational modelling of trolling in the memes for Indian languages, we created a meme dataset for Tamil (TamilMemes). We annotated and released the dataset containing suspected trolls and not-troll memes. In this paper, we use the a image classification to address the difficulties involved in the classification of troll memes with the existing methods. We found that the identification of a troll meme with such an image classifier is not feasible which has been corroborated with precision, recall and F1-score.en_IE
dc.description.sponsorshipThis publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 P2, co-funded by the European Regional Development Fund, as well as by the H2020 project Pret- ˆ a-LLOD under Grant Agreement ` number 825182.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherEuropean Language Resources Association (ELRA)en_IE
dc.relation.ispartofProceedings of the 5th Workshop on Indian Language Data Resource and Evaluation (WILDRE-5)en
dc.subjectTamil dataseten_IE
dc.subjectmemes classificationen_IE
dc.subjecttrollingen_IE
dc.subjectIndian language dataen_IE
dc.titleA dataset for troll classification of Tamil memesen_IE
dc.typeWorkshop paperen_IE
dc.date.updated2020-07-01T13:21:42Z
dc.local.publishedsourcehttps://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/WILDRE-5book.pdfen_IE
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderHorizon 2020en_IE
dc.contributor.funderEuropean Regional Development Funden_IE
dc.internal.rssid21013123
dc.local.contactShardul Suryawanshi, Ida Business Park, Lower Dangan, Galway. Email: shardul.suryawanshi@insight-centre.org
dc.local.copyrightcheckedYes
dc.local.versionPUBLISHED
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en_IE
dcterms.projectinfo:eu-repo/grantAgreement/EC/H2020::RIA/825182/EU/Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors/Pret-a-LLODen_IE
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