{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T20:27:38Z","timestamp":1743020858237,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031640360"},{"type":"electronic","value":"9783031640377"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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\/978-3-031-64037-7_10","type":"book-chapter","created":{"date-parts":[[2024,6,29]],"date-time":"2024-06-29T07:01:54Z","timestamp":1719644514000},"page":"148-163","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Japanese Tweets on the Russian Military Invasion of Ukraine Focusing on Frequently Used Words and Emotional Expressions"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7681-150X","authenticated-orcid":false,"given":"Keisuke","family":"Utsu","sequence":"first","affiliation":[]},{"given":"Misaki","family":"Oyama","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0211-7504","authenticated-orcid":false,"given":"Osamu","family":"Uchida","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,30]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Imran, M., Castillo, C., Diaz, F., Vieweg, S.: Processing social media messages in mass emergency a survey. ACM Comput. Surv. 47(4), 1\u201338 (2015)","DOI":"10.1145\/2771588"},{"issue":"4","key":"10_CR2","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1587\/essfr.13.4_301","volume":"13","author":"O Uchida","year":"2020","unstructured":"Uchida, O., Utsu, K.: Utilization of social media at the time of disaster. IEICE Fundam. Rev. 13(4), 301\u2013311 (2020). https:\/\/doi.org\/10.1587\/essfr.13.4_301","journal-title":"IEICE Fundam. Rev."},{"key":"10_CR3","unstructured":"Chauhan, A., Hughes, A.: COVID-19 named resources on Facebook, Twitter, and Reddit. In: 18th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2021 Conference Proceedings, pp. 679\u2013690 (2021)"},{"issue":"39","key":"10_CR4","doi-asserted-by":"publisher","first-page":"3782","DOI":"10.1093\/eurheartj\/ehaa597","volume":"41","author":"A Kumar","year":"2020","unstructured":"Kumar, A., Khan, S.U., Kalra, A.: COVID-19 pandemic: a sentiment analysis. Eur. Heart J. 41(39), 3782\u20133783 (2020). https:\/\/doi.org\/10.1093\/eurheartj\/ehaa597","journal-title":"Eur. Heart J."},{"key":"10_CR5","doi-asserted-by":"publisher","unstructured":"Toriumi, F., Sakaki, T., Yoshida, M.: Social emotions under the spread of COVID-19 using social media. Trans. Japan. Soc. Artif. Intell. 35(4), F-K45_1\u20137 (2020). (in Japanese). https:\/\/doi.org\/10.1527\/tjsai.f-k45","DOI":"10.1527\/tjsai.f-k45"},{"key":"10_CR6","unstructured":"Asahi Shimbun DIGITAL. https:\/\/www.asahi.com\/special\/russia-ukraine-war-sns\/"},{"key":"10_CR7","doi-asserted-by":"publisher","unstructured":"Pierri, F., Luceri, L., Jindal, N., Ferrara, E.: Propaganda and misinformation on Facebook and Twitter during the Russian invasion of Ukraine. In: Proceedings of the 15th ACM Web Science Conference, WebSci 2023 (2023). https:\/\/doi.org\/10.1145\/3578503.3583597","DOI":"10.1145\/3578503.3583597"},{"key":"10_CR8","doi-asserted-by":"publisher","unstructured":"Garcia, M.B., Cunanan-Yabut, A.: Public sentiment and emotion analyses of Twitter data on the 2022 Russian invasion of Ukraine. In: 2022 9th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), pp. 242\u2013247 (2022). https:\/\/doi.org\/10.1109\/ICITACEE55701.2022.9924136","DOI":"10.1109\/ICITACEE55701.2022.9924136"},{"key":"10_CR9","doi-asserted-by":"publisher","unstructured":"Haq, E.U., Tyson, G., Lee, L., Braud, T., Hui, P.: Twitter dataset for 2022 Russo-Ukrainian crisis. arXiv:2203.02955 (2022). https:\/\/doi.org\/10.48550\/arXiv.2203.02955","DOI":"10.48550\/arXiv.2203.02955"},{"key":"10_CR10","doi-asserted-by":"publisher","unstructured":"Pohl, J.S., Seiler, M.V., Assenmacher, D., Grimme, C.: A Twitter streaming dataset collected before and after the onset of the war between Russia and Ukraine in 2022. SSRN (2022). https:\/\/doi.org\/10.2139\/ssrn.4066543","DOI":"10.2139\/ssrn.4066543"},{"key":"10_CR11","doi-asserted-by":"publisher","unstructured":"Sazzed, S.: The dynamics of Ukraine-Russian conflict through lens of demographically diverse Twitter data. In: 2022 IEEE International Conference of Big Data (Big Data), pp. 6018\u20136024 (2022). https:\/\/doi.org\/10.1109\/BigData55660.2022.10020274","DOI":"10.1109\/BigData55660.2022.10020274"},{"key":"10_CR12","doi-asserted-by":"publisher","unstructured":"Chen, E., Ferrara, E.: Tweets in time of conflict: a public dataset tracking the Twitter discourse on the war between Ukraine and Russia. arXiv:2203.07488 (2023). https:\/\/doi.org\/10.48550\/arXiv.2203.07488","DOI":"10.48550\/arXiv.2203.07488"},{"key":"10_CR13","unstructured":"Twitter API v2 support | Twitter Developer Platform. https:\/\/developer.twitter.com\/en\/support\/twitter-api\/v2"},{"key":"10_CR14","doi-asserted-by":"publisher","unstructured":"Hong, L., Convertino, G., Chi, E.H.: Language matters in Twitter: a large scale study. In: Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, vol. 5, no. 1 (2011). https:\/\/doi.org\/10.1609\/icwsm.v5i1.14184","DOI":"10.1609\/icwsm.v5i1.14184"},{"key":"10_CR15","unstructured":"KH coder 3. https:\/\/khcoder.net\/"},{"issue":"3","key":"10_CR16","first-page":"77","volume":"52","author":"K Higuchi","year":"2016","unstructured":"Higuchi, K.: A two-step approach to quantitative content analysis: KH coder tutorial using Anne of Green Gables (part I). Ritsumeikan Soc. Sci. Rev. 52(3), 77\u201391 (2016)","journal-title":"Ritsumeikan Soc. Sci. Rev."},{"key":"10_CR17","unstructured":"MeCab: Yet another part-of-speech and morphological analyze. https:\/\/taku910.github.io\/mecab\/"},{"key":"10_CR18","unstructured":"mecab-ipadic-NEologd: Neologism dictionary for MeCab. https:\/\/github.com\/neologd\/mecab-ipadic-neologd"},{"key":"10_CR19","unstructured":"neologdn 0.5.1: Japanese text normalizer for mecab-neologd. https:\/\/pypi.org\/project\/neologdn\/"},{"key":"10_CR20","unstructured":"pymlask: Python version of ML-Ask. https:\/\/github.com\/ikegami-yukino\/pymlask"},{"key":"10_CR21","doi-asserted-by":"crossref","unstructured":"Ptaszynski, M., Dybala, P., Shi, W., Rzepka, R., Araki, K.: A system for affect analysis of utterances in Japanese supported with web mining. J. Japan Soc. Fuzzy Theor. Intell. Inf. 21(2), 30\u201349 (194\u2013213) (2009)","DOI":"10.3156\/jsoft.21.194"},{"key":"10_CR22","unstructured":"kit-nlp\/bert-base-japanese-sentiment-irony: BERT Base Japanese for Irony. Hagging Face. https:\/\/huggingface.co\/kit-nlp\/bert-base-japanese-sentiment-irony"}],"container-title":["IFIP Advances in Information and Communication Technology","Information Technology in Disaster Risk Reduction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-64037-7_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,29]],"date-time":"2024-06-29T07:03:44Z","timestamp":1719644624000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-64037-7_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031640360","9783031640377"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-64037-7_10","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"30 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ITDRR 2023","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Technology in Disaster Risk Reduction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","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":"4 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"itdrr2022a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/itdrr.org\/conference\/itdrr2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}