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NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity

dc.contributor.authorAndryushechkin, Vladimir
dc.contributor.authorWood, Ian D.
dc.contributor.authorO'Neill, James
dc.date.accessioned2017-12-11T09:53:47Z
dc.date.available2017-12-11T09:53:47Z
dc.date.issued2017-09-08
dc.identifier.citationAndryushechkin, Vladimir, Wood, Ian David, & O’ Neill, James (2017). NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity. Paper presented at the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis WASSA 2017, Copenhagen, Denmark, 08 September.en_IE
dc.identifier.isbn978-1-945626-95-1
dc.identifier.urihttp://hdl.handle.net/10379/7033
dc.description.abstractThis paper describes the entry NUIG in the WASSA 20171 shared task on emotion recognition. The NUIG system used an SVR (SVM regression) and BiLSTM ensemble, utilizing primarily n-grams (for SVR features) and tweet word embeddings (for BiLSTM features). Experiments were carried out on several other candidate features, some of which were added to the SVR model. Parameter selection for the SVR model was run as a grid search whilst parameters for the BiLSTM model were selected through a non-exhaustive ad-hoc search.en_IE
dc.description.sponsorshipThis work was supported in part by the European Union supported project MixedEmotions (H2020- 644632) and the Science Foundation Ireland under Grant Number SFI/12/RC/2289 (Insight).en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherAssociation for Computational Linguisticsen_IE
dc.relation.ispartofProceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysisen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectEmotion recognitionen_IE
dc.subjectSVRen_IE
dc.subjectSVM regressionen_IE
dc.subjectBiLSTMen_IE
dc.subjectSocial media analysisen_IE
dc.titleNUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensityen_IE
dc.typeConference Paperen_IE
dc.date.updated2017-12-06T12:00:44Z
dc.local.publishedsourcehttp://www.aclweb.org/anthology/W/W17/W17-5200.pdfen_IE
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funderScience Foundation Ireland
dc.contributor.funderEU Horizon 2020
dc.internal.rssid13220237
dc.local.contactJames O'Neill, -. - Email: james.oneill@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionPUBLISHED
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland