{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:03:47Z","timestamp":1743091427224,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030908843"},{"type":"electronic","value":"9783030908850"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-90885-0_1","type":"book-chapter","created":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T14:04:29Z","timestamp":1636466669000},"page":"3-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Research on the Fluctuation Characteristics of Social Media Message Sentiment with Time Before and During the COVID-19 Epidemic"],"prefix":"10.1007","author":[{"given":"Chaohui","family":"Guo","sequence":"first","affiliation":[]},{"given":"Shaofu","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Zhisheng","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Chengyu","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Yahong","family":"Yao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,11,10]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/978-3-662-57287-0_7","volume-title":"Kompendium der Psychotherapie","author":"S Losekam","year":"2019","unstructured":"Losekam, S., Konrad, C.: Depression. In: Kircher, T. (ed.) Kompendium der Psychotherapie, pp. 101\u2013143. Springer, Heidelberg (2019). https:\/\/doi.org\/10.1007\/978-3-662-57287-0_7"},{"issue":"3","key":"1_CR2","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/S2215-0366(18)30511-X","volume":"6","author":"Y Huang","year":"2019","unstructured":"Huang, Y., et al.: Prevalence of mental disorders in China: a cross-sectional epidemiological study. Lancet Psychiatry 6(3), 211\u2013224 (2019)","journal-title":"Lancet Psychiatry"},{"issue":"03","key":"1_CR3","first-page":"70","volume":"2021","author":"W Zhu","year":"2021","unstructured":"Zhu, W.: The formation, harm and response of depression. J. Polit. Sci. Eng. 2021(03), 70\u201371 (2021)","journal-title":"J. Polit. Sci. Eng."},{"key":"1_CR4","unstructured":"WHO TEAM: Suicide in the world. World Health Organization, pp. 1\u201332 (2019)"},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Rozanov, V.A., Rakhimkulova, A.S.: Suicidal ideation in adolescents\u2014a transcultural analysis. In: Kumar, U. (ed.) Handbook of Suicidal Behaviour. Springer, Singapore (2017). https:\/\/doi.org\/10.1007\/978-981-10-4816-6_15","DOI":"10.1007\/978-981-10-4816-6_15"},{"key":"1_CR6","unstructured":"CNNIC: The 47th China Statistical Report on Internet Development. The 47th China Statistical Report on Internet Development, pp. 1\u2013118 (2021)"},{"key":"1_CR7","unstructured":"Li, C.: Research on group loneliness in online social media environment. Huazhong Normal University (2019)"},{"issue":"24","key":"1_CR8","first-page":"42","volume":"34","author":"F Yang","year":"2019","unstructured":"Yang, F., Huang, Z., Yang, B., Ruan, J., Nie, W., Fang, S.: Analysis of suicidal ideation of Microblog \u201ctree hole\u201d users based on artificial intelligence technology. J. Nurs. 34(24), 42\u201345 (2019)","journal-title":"J. Nurs."},{"issue":"12","key":"1_CR9","first-page":"33","volume":"2021","author":"S Lv","year":"2021","unstructured":"Lv, S.: On the anonymity effect of tree hole communication. Literary Educ. 2021(12), 33\u201334 (2021)","journal-title":"Literary Educ."},{"issue":"10","key":"1_CR10","first-page":"65","volume":"2019","author":"X-H Feng","year":"2019","unstructured":"Feng, X.-H., Huang, Z.: Using AI to brighten the lives of depressed patients. China Sci. Technol. Ind. 2019(10), 65\u201366 (2019)","journal-title":"China Sci. Technol. Ind."},{"issue":"04","key":"1_CR11","first-page":"70","volume":"15","author":"J Gong","year":"2020","unstructured":"Gong, J., Lin, S., Huang, Z.: Study on the spatial characteristics of depression patients\u2019 data on Microblog \u201ctree holes.\u201d China Digit. Med. 15(04), 70\u201374 (2020)","journal-title":"China Digit. Med."},{"key":"1_CR12","doi-asserted-by":"publisher","unstructured":"Jing, X., Lin, S., Huang, Z.: Research on the behavior pattern of microblog \u201ctree hole\u201d users with their temporal characteristics. In: Huang, Z., Siuly, S., Wang, H., Zhou, R., Zhang, Y. (eds.) Health Information Science. HIS 2020. LNCS, vol. 12435, pp. 25-34. Springer, Cham (2020).  https:\/\/doi.org\/10.1007\/978-3-030-61951-0_3","DOI":"10.1007\/978-3-030-61951-0_3"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, J.: A combination of Lexicon-based and classified-based methods for sentiment classification based on Bert. J. Phys.: Conf. Ser. 1802(3), 032113 (2021)","DOI":"10.1088\/1742-6596\/1802\/3\/032113"},{"key":"1_CR14","unstructured":"Mikolov, T., Chen, K., Corrado, G.S., et al.: Efficient estimation of word representations in vector space. In: International Conference on Learning Representations (2013)"},{"key":"1_CR15","unstructured":"Liu, W., Li, Y., Luo, J., Li, W., Fu, S.: Chinese short text sentiment analysis based on BERT and BiLSTM. J. Taiyuan Normal Univ. (Nat. Sci. Edn.) 19(04), 52\u201358 (2020)"},{"key":"1_CR16","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1016\/j.neucom.2021.01.079","volume":"438","author":"Y Fu","year":"2021","unstructured":"Fu, Y., Liao, J., Li, Y., Wang, S., Li, D., Li, X.: Multiple perspective attention based on double BiLSTM for aspect and sentiment pair extraction. Neurocomputing 438, 302\u2013311 (2021)","journal-title":"Neurocomputing"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Yin, F., He, X., Liu, Z.: Research on scrapy-based distributed crawler system for crawling semi-structure information at high speed. In: 2018 IEEE 4th International Conference on Computer and Communications (ICCC), pp. 1\u20136 (2018)","DOI":"10.1109\/CompComm.2018.8781062"},{"key":"1_CR18","unstructured":"Baidu.Sentiment\\_Classify[EB\/OL] (2019). https:\/\/ai.baidu.com\/tech\/nlp\/sentiment\/_classify"},{"key":"1_CR19","unstructured":"Yan, Y.: Research on text sentiment analysis of microblog hot topics based on deep learning. Nanchang University (2020)"}],"container-title":["Lecture Notes in Computer Science","Health Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-90885-0_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T14:07:29Z","timestamp":1636466849000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-90885-0_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030908843","9783030908850"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-90885-0_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"10 November 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Health Information Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Melbourne, VIC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"his22021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/his-conferences.org\/2021\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56","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":"16","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":"7","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":"29% - 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":"5","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}