{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T02:48:55Z","timestamp":1775098135701,"version":"3.50.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031476396","type":"print"},{"value":"9783031476402","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-47640-2_9","type":"book-chapter","created":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T06:01:56Z","timestamp":1699423316000},"page":"106-117","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Disaster Tweets: Analysis from\u00a0the\u00a0Metaphor Perspective and\u00a0Classification Using LLM\u2019s"],"prefix":"10.1007","author":[{"given":"Tania","family":"Alc\u00e1ntara","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Omar","family":"Garc\u00eda-V\u00e1zquez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiram","family":"Calvo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 A.","family":"Torres-Le\u00f3n","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,9]]},"reference":[{"key":"9_CR1","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Proceedings of the 31st International Conference on Neural Information Processing System, pp. 6000\u20136010 (2017)"},{"key":"9_CR2","unstructured":"Radford, A., Narasimhan, K., Salimans, T., Sutskever, I.: Improving language understanding by generative pre-training (2018)"},{"key":"9_CR3","unstructured":"Soriano, C.: La met\u00e1fora conceptual. In: Ibarretxe-Antu\u00f1ano, I., Valenzuela, J. (eds.) Ling\u00fc\u00edstica Cognitiva, pp. 97\u2013121, Anthropos, Barcelona (2012)"},{"key":"9_CR4","volume-title":"Metaphors We Live By","author":"G Lakoff","year":"1980","unstructured":"Lakoff, G., Johnson, M.: Metaphors We Live By. Chicago University Press, Chicago (1980)"},{"key":"9_CR5","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171\u20134186. Association for Computational Linguistics (2019)"},{"key":"9_CR6","first-page":"165","volume":"68","author":"BC Morales","year":"2018","unstructured":"Morales, B.C.: Teor\u00eda de la met\u00e1fora conceptual y teor\u00eda de la met\u00e1fora deliberada: propuestas complementarias. Estudios de Ling\u00fc\u00edstica Aplicada 68, 165\u2013198 (2018)","journal-title":"Estudios de Ling\u00fc\u00edstica Aplicada"},{"key":"9_CR7","unstructured":"Grady, J., Taub, S., Morgan, P.: Primitive and compound metaphors. In: Goldberg, A.E. (ed.) Conceptual Structure, Discourse and Language, pp. 177\u2013187. Center for the Study of Language and Information, Stanford (1996)"},{"issue":"8","key":"9_CR8","first-page":"9","volume":"1","author":"A Radford","year":"2019","unstructured":"Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I.: Language models are unsupervised multitask learners. OpenAI Blog 1(8), 9 (2019)","journal-title":"OpenAI Blog"},{"key":"9_CR9","unstructured":"Liu, Y., et al.: Roberta: a robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692 (2019)"},{"key":"9_CR10","unstructured":"Sanh, V., Debut, L., Chaumond, J., Wolf, T.: DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108 (2019)"},{"key":"9_CR11","unstructured":"Parilla-Ferrer, B.E., Fern\u00e1ndez, P.L., Ballena, J.T.: Automatic Classification of Disaster-Related Tweets (2015)"},{"key":"9_CR12","unstructured":"Chanda, A.K.: Efficacy of BERT embeddings on predicting disaster from Twitter data. arXiv.org (2021). https:\/\/arxiv.org\/abs\/2108.10698"},{"issue":"7","key":"9_CR13","doi-asserted-by":"publisher","first-page":"163","DOI":"10.3390\/fi13070163","volume":"13","author":"G Song","year":"2021","unstructured":"Song, G., Huang, D.: A sentiment-aware contextual model for real-time disaster prediction using twitter data. Future Internet 13(7), 163 (2021). https:\/\/doi.org\/10.3390\/fi13070163","journal-title":"Future Internet"},{"key":"9_CR14","unstructured":"Saji, B.: Disaster Tweet Classification Using LSTM - NLP. Analytics Vidhya (2022). https:\/\/www.analyticsvidhya.com\/blog\/2022\/05\/disaster-tweet-classification-using-lstm-nlp\/"},{"key":"9_CR15","unstructured":"wisdomml. Disaster Tweets Classification Using Machine Learning & NLP Approach - Wisdom ML. Wisdom ML (2022). https:\/\/wisdomml.in\/disaster-tweets-classification-using-machine-learning-nlp-approach\/"},{"key":"9_CR16","unstructured":"Natural Language Processing with Disaster Tweets Stepanenko, Viktor. Disaster Tweets [Dataset] (2021). https:\/\/www.kaggle.com\/datasets\/vstepanenko\/disaster-tweets"}],"container-title":["Lecture Notes in Computer Science","Advances in Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-47640-2_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:08:50Z","timestamp":1699488530000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-47640-2_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,9]]},"ISBN":["9783031476396","9783031476402"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-47640-2_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,9]]},"assertion":[{"value":"9 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yucat\u00e1n","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"micai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.micai.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft's CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"115","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}