Adapting Language Models to Sentiment Analysis for Automatically Translated and Labelled Turkish News Texts
| dc.contributor.author | Serficeli, S.C. | |
| dc.contributor.author | Udunman, B. | |
| dc.contributor.author | Inan, E. | |
| dc.date.accessioned | 2025-12-25T21:39:45Z | |
| dc.date.available | 2025-12-25T21:39:45Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The proliferation of news sources makes it difficult to track current events and social events in real time. In order to interpret social events in this context quickly and effectively, it is important to translate news texts provided in different natural languages into Turkish and to perform sentiment analysis on them. The aim of this study is to translate multilingual news texts into Turkish and perform sentiment analysis on these texts. The generated labels were compared and the data that were given the same label by all models were separated as automatically labelled data. This automatic labelling process ensured that the data for which different models produced consistent results were reliably labelled. When the results were evaluated, F1 score of 0.946 was achieved for sentiment analysis using the automatic labelling mechanism for texts translated into Turkish. © 2025 IEEE. | en_US |
| dc.identifier.doi | 10.1109/ASYU67174.2025.11208328 | |
| dc.identifier.isbn | 9798331597276 | |
| dc.identifier.scopus | 2-s2.0-105022431582 | |
| dc.identifier.uri | https://doi.org/10.1109/ASYU67174.2025.11208328 | |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | -- 2025 Innovations in Intelligent Systems and Applications Conference, ASYU 2025 -- 2025-09-10 through 2025-09-12 -- Bursa -- 214381 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Language Models | en_US |
| dc.subject | Named Entity Recognition | en_US |
| dc.subject | Natural Language Processing | en_US |
| dc.subject | Sentiment Analysis | en_US |
| dc.title | Adapting Language Models to Sentiment Analysis for Automatically Translated and Labelled Turkish News Texts | en_US |
| dc.title.alternative | Otomatik Evrilmiş ve Etiketlenmiş Türkçe Haber Metinleri için Dil Modellerinin Duygu Analizine Uyarlanması | |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.scopusid | 60204021500 | |
| gdc.author.scopusid | 60203188300 | |
| gdc.author.scopusid | 55623306000 | |
| gdc.coar.type | text::conference output | |
| gdc.collaboration.industrial | true | |
| gdc.description.department | İzmir Institute of Technology | en_US |
| gdc.description.departmenttemp | [Serficeli] Sezin Cagla, Izmir Yüksek Teknoloji Enstitüsü, Izmir, Turkey; [Udunman] Berke, Izmir Yüksek Teknoloji Enstitüsü, Izmir, Turkey; [Inan] Emrah, Izmir Yüksek Teknoloji Enstitüsü, Izmir, Turkey | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.wosquality | N/A | |
| gdc.identifier.openalex | W4415709636 | |
| gdc.index.type | Scopus | |
| gdc.openalex.collaboration | International | |
| gdc.opencitations.count | 0 | |
| gdc.plumx.scopuscites | 0 | |
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