Sentiment Analysis through Transfer Learning for Turkish Language

dc.authorscopusid57210441118
dc.authorscopusid34978067500
dc.contributor.authorAkin, S.E.
dc.contributor.authorYildiz, T.
dc.date.accessioned2024-07-18T20:17:10Z
dc.date.available2024-07-18T20:17:10Z
dc.date.issued2019
dc.descriptionBulgarian National Science Fund;Bulgarian Sectionen_US
dc.description2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2019 -- 3 July 2019 through 5 July 2019 -- -- 150190en_US
dc.description.abstractSentiment Analysis (SA) has received much attention in recent years. In this paper, we proposed a model based on the transfer learning technique to address SA problem. First, we utilize word embeddings that are trained on 322K documents from Turkish Wikipedia. The model employs a regular Long Short-Term Memory (LSTM) with dropout. Secondly, we fine-tuned the pre-trained language model on two different target datasets (restaurant and product reviews) independently. Finally, the LSTM is trained to classify reviews according to positive and negative sentiments and its associated performance is assessed. This study is also considered to be the important attempt that uses transfer learning by applying a fine-tuning technique and deep learning architecture to address SA problem for Turkish Language. © 2019 IEEE.en_US
dc.identifier.doi10.1109/INISTA.2019.8778305
dc.identifier.isbn9781728118628
dc.identifier.scopus2-s2.0-85070764218en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/INISTA.2019.8778305
dc.identifier.urihttps://hdl.handle.net/11411/6418
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2019 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep Learningen_US
dc.subjectLstmen_US
dc.subjectTransfer Learningen_US
dc.subjectDeep Learningen_US
dc.subjectIntelligent Systemsen_US
dc.subjectSentiment Analysisen_US
dc.subjectLanguage Modelen_US
dc.subjectLearning Architecturesen_US
dc.subjectLstmen_US
dc.subjectModel-Based Opcen_US
dc.subjectNegative Sentimentsen_US
dc.subjectProduct Reviewsen_US
dc.subjectTransfer Learningen_US
dc.subjectTurkish Languageen_US
dc.subjectLong Short-Term Memoryen_US
dc.titleSentiment Analysis through Transfer Learning for Turkish Language
dc.typeConference Object

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