{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:29:12Z","timestamp":1743100152749,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030996185"},{"type":"electronic","value":"9783030996192"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-030-99619-2_6","type":"book-chapter","created":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T05:19:48Z","timestamp":1648617588000},"page":"55-68","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["How Australians Are Coping with the Longest Restrictions: An Exploratory Analysis of Emotion and Sentiment from Tweets"],"prefix":"10.1007","author":[{"given":"Kawser Irom","family":"Rushee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md Shamsur","family":"Rahim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Levula","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehregan","family":"Mahdavi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,31]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Marroqu\u00edn, B., Vine, V., Morgan, R.: Mental health during the COVID-19 pandemic: effects of stay-at-home policies, social distancing behavior, and social resources. Psychiatry Res. 293, 113419 (2020)","DOI":"10.1016\/j.psychres.2020.113419"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Barkur, G., Vibha, G.B.K.: Sentiment analysis of nationwide lockdown due to COVID 19 outbreak: evidence from India. Asian J. Psychiatry 51, 102089 (2020)","DOI":"10.1016\/j.ajp.2020.102089"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Pokharel, B.P.: Twitter sentiment analysis during covid-19 outbreak in Nepal. SSRN 3624719 (2020)","DOI":"10.2139\/ssrn.3624719"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Pastor, C.K.: Sentiment analysis of Filipinos and effects of extreme community quarantine due to coronavirus (COVID-19) pandemic. SSRN 3574385 (2020)","DOI":"10.2139\/ssrn.3574385"},{"key":"6_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s42979-021-00596-7","volume":"2","author":"J Zhou","year":"2021","unstructured":"Zhou, J., Yang, S., Xiao, C., Chen, F.: Examination of community sentiment dynamics due to COVID-19 pandemic: a case study from a state in Australia. SN Comput. Sci. 2, 1\u201311 (2021)","journal-title":"SN Comput. Sci."},{"key":"6_CR6","first-page":"1","volume":"5","author":"L Nemes","year":"2021","unstructured":"Nemes, L., Kiss, A.: Social media sentiment analysis based on COVID-19. J. Inf. Telecommun. 5, 1\u201315 (2021)","journal-title":"J. Inf. Telecommun."},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.bbi.2020.05.006","volume":"87","author":"M Bhat","year":"2020","unstructured":"Bhat, M., Qadri, M., Noor-ul-Asrar Beg, M.K., Ahanger, N., Agarwal, B.: Sentiment analysis of social media response on the Covid19 outbreak. Brain Behav. Immun. 87, 136 (2020)","journal-title":"Brain Behav. Immun."},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Lwin, M.O., et al.: Global sentiments surrounding the COVID-19 pandemic on Twitter: analysis of Twitter trends. JMIR Public Health Surveill. 6, e19447 (2020)","DOI":"10.2196\/19447"},{"key":"6_CR9","unstructured":"https:\/\/docs.tweepy.org\/en\/stable\/client.html#tweepy.Client"},{"key":"6_CR10","unstructured":"NLTK. https:\/\/www.nltk.org\/"},{"key":"6_CR11","unstructured":"Loria, S.: Textblob documentation. Release 0.15(2), 269 (2018)"},{"key":"6_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 International AAAI Conference on Web and Social Media (2014)","DOI":"10.1609\/icwsm.v8i1.14550"},{"key":"6_CR13","first-page":"627","volume":"2","author":"B Liu","year":"2010","unstructured":"Liu, B.: Sentiment analysis and subjectivity. Handb. Nat. Lang. Process. 2, 627\u2013666 (2010)","journal-title":"Handb. Nat. Lang. Process."},{"key":"6_CR14","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1162\/COLI_r_00048","volume":"37","author":"N Indurkhya","year":"2011","unstructured":"Indurkhya, N., Damerau, F.J.: Handbook of natural language processing. Comput. Linguist. 37, 395\u2013397 (2011)","journal-title":"Comput. Linguist."},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1109\/TAFFC.2018.2807817","volume":"11","author":"N Colneri\u010d","year":"2018","unstructured":"Colneri\u010d, N., Dem\u0161ar, J.: Emotion recognition on Twitter: comparative study and training a unison model. IEEE Trans. Affect. Comput. 11, 433\u2013446 (2018)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"6_CR16","unstructured":"Parliamentary Library. https:\/\/www.aph.gov.au\/About_Parliament\/Parliamentary_Departments\/Parliamentary_Library\/pubs\/rp\/rp2021\/Chronologies\/COVID-19StateTerritoryGovernmentAnnouncements"},{"key":"6_CR17","unstructured":"NSW Health. https:\/\/www.health.nsw.gov.au\/news\/Pages\/20200831_00.aspx"},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1186\/s12954-021-00471-x","volume":"18","author":"A Roxburgh","year":"2021","unstructured":"Roxburgh, A., et al.: Adapting harm reduction services during COVID-19: lessons from the supervised injecting facilities in Australia. Harm Reduct. J. 18, 20 (2021)","journal-title":"Harm Reduct. J."},{"key":"6_CR19","unstructured":"https:\/\/www.health.nsw.gov.au\/news\/Pages\/20210816_01.aspx"},{"key":"6_CR20","unstructured":"Boaz, J.: Melbourne passes Buenos Aires\u2019 world record for time spent in COVID-19 lockdown. ABC News (2021)"},{"key":"6_CR21","unstructured":"Infogram. https:\/\/infogram.com\/number-of-days-in-lockdown-by-australian-state-1h7z2l8xmznyx6o?live"},{"key":"6_CR22","doi-asserted-by":"publisher","first-page":"842","DOI":"10.1007\/s10597-017-0195-7","volume":"54","author":"A Levula","year":"2018","unstructured":"Levula, A., Harr\u00e9, M., Wilson, A.: The association between social network factors with depression and anxiety at different life stages. Commun. Ment. Health J. 54, 842\u2013854 (2018)","journal-title":"Commun. Ment. Health J."}],"container-title":["Lecture Notes in Networks and Systems","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-99619-2_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T22:01:31Z","timestamp":1675116091000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-99619-2_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030996185","9783030996192"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-99619-2_6","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"31 March 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 April 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 April 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}