{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T21:18:48Z","timestamp":1758057528001,"version":"3.44.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032051783","type":"print"},{"value":"9783032051790","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-05179-0_29","type":"book-chapter","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T21:43:35Z","timestamp":1757972615000},"page":"382-394","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enabling Context-Aware Sarcasm Detection in\u00a0Ambient Intelligence Through Local LLMs"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2707-1610","authenticated-orcid":false,"given":"Adelino","family":"Gala","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3608-0391","authenticated-orcid":false,"given":"Manuel","family":"Rodrigues","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2221-2261","authenticated-orcid":false,"given":"Francisco S.","family":"Marcondes","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3549-0754","authenticated-orcid":false,"given":"Paulo","family":"Novais","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,16]]},"reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"Abaskohi, A., Rasouli, A., Zeraati, T., Bahrak, B.: Utnlp at semeval-2022 task 6: a comparative analysis of sarcasm detection using generative-based and mutation-based data augmentation. arXiv preprint arXiv:2204.08198 (2022)","DOI":"10.18653\/v1\/2022.semeval-1.135"},{"key":"29_CR2","unstructured":"Abdin, M., et\u00a0al.: Phi-4 technical report. arXiv preprint arXiv:2412.08905 (2024)"},{"key":"29_CR3","doi-asserted-by":"crossref","unstructured":"Atmojo, W.T., Rustad, S., Syukur, A., Andono, P.N.: A bibliometric analysis of sarcasm detection. In: 2023 International Seminar on Application for Technology of Information and Communication (iSemantic), pp. 417\u2013422. IEEE (2023)","DOI":"10.1109\/iSemantic59612.2023.10295370"},{"key":"29_CR4","unstructured":"Baccianella, S., Esuli, A., Sebastiani, F.: SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. In: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), pp. 2200\u20132204. European Language Resources Association (ELRA), Valletta, Malta (2010)"},{"issue":"8","key":"29_CR5","doi-asserted-by":"publisher","first-page":"399","DOI":"10.3390\/info13080399","volume":"13","author":"AC B\u0103roiu","year":"2022","unstructured":"B\u0103roiu, A.C.: Tr\u0103usan-Matu,\u202f: automatic sarcasm detection: systematic literature review. Information 13(8), 399 (2022)","journal-title":"Information"},{"key":"29_CR6","unstructured":"Bommasani, R., et\u00a0al.: On the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258 (2021)"},{"key":"29_CR7","first-page":"1877","volume":"33","author":"T Brown","year":"2020","unstructured":"Brown, T., et al.: Language models are few-shot learners. Adv. Neural. Inf. Process. Syst. 33, 1877\u20131901 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"3","key":"29_CR8","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1023\/A:1022627411411","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"29_CR9","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"issue":"8","key":"29_CR10","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"29_CR11","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.knosys.2016.07.030","volume":"110","author":"C Hung","year":"2016","unstructured":"Hung, C., Chen, S.J.: Word sense disambiguation based sentiment lexicons for sentiment classification. Knowl.-Based Syst. 110, 224\u2013232 (2016)","journal-title":"Knowl.-Based Syst."},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Hutto, C., Gilbert, E.: Vader: a parsimonious rule-based model for sentiment analysis of social media text. In: Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media (ICWSM), vol.\u00a08, pp. 216\u2013225 (2014)","DOI":"10.1609\/icwsm.v8i1.14550"},{"key":"29_CR13","unstructured":"Jiang, A.Q., et\u00a0al.: Mistral 7b. arXiv preprint arXiv:2310.06825 (2023)"},{"key":"29_CR14","unstructured":"McCallum, A., Nigam, K.: A comparison of event models for Naive Bayes text classification. In: AAAI-98 Workshop on Learning for Text Categorization, pp. 41\u201348. Madison, Wisconsin (1998)"},{"key":"29_CR15","doi-asserted-by":"crossref","unstructured":"Oprea, S., Magdy, W.: iSarcasm: a dataset of intended sarcasm. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 4017\u20134023. Association for Computational Linguistics, Online (2020). https:\/\/www.aclweb.org\/anthology\/2020.acl-main.371","DOI":"10.18653\/v1\/2020.acl-main.118"},{"key":"29_CR16","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends\u00ae Inf. Retrieval 2(1\u20132), 1\u2013135 (2008)","DOI":"10.1561\/1500000011"},{"key":"29_CR17","unstructured":"Potamias, R.A., Siolas, G., Stafylopatis, A.: Transformer-based conditional layers for sarcasm detection. In: Proceedings of the 28th International Conference on Computational Linguistics (COLING), pp. 420\u2013430. International Committee on Computational Linguistics, Barcelona (Online) (2020)"},{"issue":"1","key":"29_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/505282.505283","volume":"34","author":"F Sebastiani","year":"2002","unstructured":"Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. (CSUR) 34(1), 1\u201347 (2002)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"29_CR19","doi-asserted-by":"crossref","unstructured":"Tang, D., Qin, B., Liu, T.: Document modeling with gated recurrent neural network for sentiment classification. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1422\u20131432. Association for Computational Linguistics, Lisbon (2015)","DOI":"10.18653\/v1\/D15-1167"},{"key":"29_CR20","unstructured":"Team, G., et\u00a0al.: Gemma 3 technical report. arXiv preprint arXiv:2503.19786 (2025)"},{"key":"29_CR21","unstructured":"Touvron, H., et\u00a0al.: Llama 2: open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)"},{"key":"29_CR22","unstructured":"Wolf, T., et\u00a0al.: Transformers: state-of-the-art natural language processing. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 38\u201345. Association for Computational Linguistics (2020)"},{"key":"29_CR23","unstructured":"Yang, A., et\u00a0al.: Qwen3 technical report. arXiv preprint arXiv:2505.09388 (2025)"},{"key":"29_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zou, C., Lian, Z., Tiwari, P., Qin, J.: Towards evaluating large language models on sarcasm understanding. arXiv e-prints pp. arXiv\u20132408 (2024)","DOI":"10.1109\/TAFFC.2025.3604806"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-05179-0_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T21:43:41Z","timestamp":1757972621000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05179-0_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,16]]},"ISBN":["9783032051783","9783032051790"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05179-0_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,16]]},"assertion":[{"value":"16 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"EPIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"EPIA Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Faro","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"epia2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/epia2025.ualg.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}