{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T10:27:01Z","timestamp":1773311221273,"version":"3.50.1"},"reference-count":115,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"TUBITAK 1001 Program","award":["113K538"],"award-info":[{"award-number":["113K538"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3496867","type":"journal-article","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T18:57:40Z","timestamp":1731524260000},"page":"172648-172695","source":"Crossref","is-referenced-by-count":2,"title":["Decoding Emotional Dynamics: A Comparative Analysis of Contextual and Non-Contextual Models in Sentiment Analysis of Turkish Couple Dialogues"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4778-2428","authenticated-orcid":false,"given":"Esma Nafiye","family":"Polat","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, &#x00D6;zye&#x011F;in University, &#x0130;stanbul, T&#x00FC;rkiye"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6160-3169","authenticated-orcid":false,"given":"Cenk","family":"Demiro\u011flu","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, &#x00D6;zye&#x011F;in University, &#x0130;stanbul, T&#x00FC;rkiye"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5838-4615","authenticated-orcid":false,"given":"Olcay Taner","family":"Yildiz","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, &#x00D6;zye&#x011F;in University, &#x0130;stanbul, T&#x00FC;rkiye"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7683-240X","authenticated-orcid":false,"given":"Nil\u00fcfer","family":"Kafescio\u011flu","sequence":"additional","affiliation":[{"name":"Department of Psychology, Istanbul Bilgi University, &#x0130;stanbul, T&#x00FC;rkiye"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0191-3085(00)22002-9"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2013.63"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IDAP.2017.8090212"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2129"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"ref8","first-page":"986","article-title":"DailyDialog: A manually labelled multi-turn dialogue dataset","volume-title":"Proc. 8th Int. Joint. Conf. Natural Lang. Process. (IJCNLP)","volume":"1","author":"Li"},{"key":"ref9","article-title":"MELD: A multimodal multi-party dataset for emotion recognition in conversations","author":"Poria","year":"2018","journal-title":"arXiv:1810.02508"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1566"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2994147"},{"key":"ref12","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"issue":"8","key":"ref13","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI Blog"},{"key":"ref14","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. NIPS","author":"Brown"},{"key":"ref15","article-title":"GPT-4 technical report","volume-title":"arXiv:2303.08774","author":"Achiam","year":"2023"},{"key":"ref16","article-title":"Llama 2: Open foundation and fine-tuned chat models","author":"Touvron","year":"2023","journal-title":"arXiv:2307.09288"},{"key":"ref17","article-title":"A survey of reasoning with foundation models","author":"Sun","year":"2023","journal-title":"arXiv:2312.11562"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s40547-024-00143-4"},{"key":"ref19","article-title":"ChatGPT vs Gemini vs LLaMA on multilingual sentiment analysis","author":"Buscemi","year":"2024","journal-title":"arXiv:2402.01715"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4489831"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3304633"},{"key":"ref22","article-title":"SentimentGPT: Exploiting GPT for advanced sentiment analysis and its departure from current machine learning","author":"Kheiri","year":"2023","journal-title":"arXiv:2307.10234"},{"key":"ref23","article-title":"Chain-of-thought prompting elicits reasoning in large language models","author":"Wei","year":"2022","journal-title":"arXiv:2201.11903"},{"key":"ref24","article-title":"Complexity-based prompting for multi-step reasoning","author":"Fu","year":"2022","journal-title":"arXiv:2210.00720"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531957"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.634"},{"key":"ref27","article-title":"Exploring length generalization in large language models","author":"Anil","year":"2022","journal-title":"arXiv:2207.04901"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016818"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v5i1.14185"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.07.059"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.48"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220619"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1115"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1057"},{"key":"ref36","first-page":"4238","article-title":"Who cares about sarcastic tweets? Investigating the impact of sarcasm on sentiment analysis","volume-title":"Proc. Lang. Resour. Eval. Conf. (LREC)","author":"Maynard"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/mis.2019.2904691"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3514094.3534162"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1064"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1031"},{"key":"ref41","article-title":"Learned in translation: Contextualized word vectors","author":"McCann","year":"2017","journal-title":"arXiv:1708.00107"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-2057"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2904-0"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1081"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n18-1193"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d18-1280"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1016"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1015"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/taslp.2021.3049898"},{"key":"ref50","article-title":"Real-time emotion recognition via attention gated hierarchical memory network","author":"Jiao","year":"2019","journal-title":"arXiv:1911.09075"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.10.001"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.04.003"},{"key":"ref53","article-title":"Utterance-level dialogue understanding: An empirical study","author":"Ghosal","year":"2020","journal-title":"arXiv:2009.13902"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1907.11692"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.06.072"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.09.057"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2022.3149234"},{"key":"ref58","first-page":"587","article-title":"Subjectivity and sentiment analysis of modern standard Arabic","volume-title":"Proc. 49th Annu. Meeting Assoc. Comput. Linguistics, Hum. Lang. Technol.","author":"Abdul-Mageed"},{"key":"ref59","article-title":"A fall-back strategy for sentiment analysis in Hindi: A case study","volume-title":"Proc. 8th ICON","author":"Joshi"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-014-9498-1"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-28495-8_17"},{"key":"ref62","article-title":"Framework for sentiment classification for morphologically rich languages: A case study for Sinhala","author":"Medagoda","year":"2017"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3390\/su16020833"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.34133\/cbsystems.0045"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.33168\/jsms.2023.0515"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-023-05592-7"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324920000200"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324916000309"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.28978\/nesciences.833188"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-010-9128-6"},{"key":"ref71","article-title":"Statistical and discriminative language modelling for Turkish large vocabulary continuous speech recognition","author":"Arsoy","year":"2009"},{"key":"ref72","article-title":"Comparison of Turkish word representations trained on different morphological forms","author":"G\u00fcler","year":"2020","journal-title":"arXiv:2002.05417"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/SIU53274.2021.9477814"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-31956-3_1"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/siu49456.2020.9302492"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1145\/3557892"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-srw.39"},{"key":"ref78","article-title":"Fine-tuning transformer-based encoder for Turkish language understanding tasks","author":"Yildirim","year":"2024","journal-title":"arXiv:2401.17396"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.iswa.2024.200335"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3291592"},{"key":"ref81","first-page":"47","article-title":"Dialog management for credit card selling via finite state machine using sentiment classification in Turkish language","volume-title":"Proc. INTELLI","author":"Sogancoglu"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.5220\/0010020700290035"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.600"},{"key":"ref84","article-title":"VBART: The Turkish LLM","author":"Turker","year":"2024","journal-title":"arXiv:2403.01308"},{"key":"ref85","article-title":"TurkishBERTweet: Fast and reliable large language model for social media analysis","author":"Najafi","year":"2023","journal-title":"arXiv:2311.18063"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/ubmk59864.2023.10286663"},{"key":"ref87","first-page":"54","article-title":"Evaluating ChatGPT\u2019s ability to detect hate speech in Turkish tweets","volume-title":"Proc. 7th Workshop Challenges Appl. Autom. Extraction Socio-Political Events Text (CASE)","author":"Dehghan"},{"key":"ref88","volume-title":"The Couples Interaction Rating System","author":"Heavey","year":"1998"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1002\/0470013494.ch3"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.26615\/978-954-452-056-4_156"},{"key":"ref91","article-title":"Trke doal dil ileme iin arayzler","volume-title":"Proc. Conf. Natural Lang. Process. Inter.","author":"Uludogan"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-010-0001-0"},{"issue":"2","key":"ref93","article-title":"Gensim\u2013Python framework for vector space modelling","volume":"3","author":"Rehurek","year":"2011"},{"key":"ref94","article-title":"Using TF-IDF to determine word relevance in document queries","volume-title":"Proc. Int. Conf. Document Queries","author":"Ramos"},{"key":"ref95","article-title":"Distributed representations of words and phrases and their compositionality","author":"Mikolov","year":"2013","journal-title":"arXiv:1310.4546"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2017.7960223"},{"key":"ref97","volume-title":"BERTurk\u2014BERT models for Turkish","author":"Schweter","year":"2020"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00595"},{"key":"ref99","article-title":"MTEB: Massive text embedding benchmark","author":"Muennighoff","year":"2022","journal-title":"arXiv:2210.07316"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref101","volume-title":"Keras: The Python Deep Learning Library","author":"Chollet","year":"2018"},{"key":"ref102","first-page":"12360","article-title":"Root mean square layer normalization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Zhang"},{"key":"ref103","article-title":"GLU variants improve transformer","author":"Shazeer","year":"2020","journal-title":"arXiv:2002.05202"},{"key":"ref104","article-title":"RoFormer: Enhanced transformer with rotary position embedding","author":"Su","year":"2021","journal-title":"arXiv:2104.09864"},{"key":"ref105","article-title":"Reinforcement learning with human feedback: Learning dynamic choices via pessimism","author":"Li","year":"2023","journal-title":"arXiv:2305.18438"},{"key":"ref106","volume-title":"PEFT: State-of-the-Art Parameter-Efficient Fine-Tuning Methods","author":"Mangrulkar","year":"2022"},{"key":"ref107","article-title":"LoRA: Low-rank adaptation of large language models","author":"Hu","year":"2021","journal-title":"arXiv:2106.09685"},{"key":"ref108","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014","journal-title":"arXiv:1412.3555"},{"key":"ref109","article-title":"Neural machine translation by jointly learning to align and translate","author":"Bahdanau","year":"2014","journal-title":"arXiv:1409.0473"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-60210-7"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1493"},{"key":"ref114","article-title":"Unsupervised cross-lingual representation learning at scale","author":"Conneau","year":"2019","journal-title":"arXiv:1911.02116"},{"key":"ref115","volume-title":"ChatGPT\u2013GPT-3.5 Turbo","year":"2023"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10752503.pdf?arnumber=10752503","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T16:16:51Z","timestamp":1732724211000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10752503\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":115,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3496867","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}