iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.crossref.org/works/10.1007/978-3-031-60260-3_1
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T19:43:26Z","timestamp":1726256606276},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031602597"},{"type":"electronic","value":"9783031602603"}],"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\/978-3-031-60260-3_1","type":"book-chapter","created":{"date-parts":[[2024,5,22]],"date-time":"2024-05-22T05:01:49Z","timestamp":1716354109000},"page":"1-13","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analyzing Influence of Epidemic Policy Adjustment on Public Concerns and Emotional Feedback Using the ABSA Approach"],"prefix":"10.1007","author":[{"given":"Wei","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Nian-xi","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Chen-guang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,23]]},"reference":[{"issue":"4","key":"1_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3503044","volume":"55","author":"G Brauwers","year":"2022","unstructured":"Brauwers, G., Frasincar, F.: A survey on aspect-based sentiment classification. ACM Comput. Surv. 55(4), 1\u201337 (2022)","journal-title":"ACM Comput. Surv."},{"issue":"1","key":"1_CR2","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1049\/cit2.12144","volume":"8","author":"R Dutta","year":"2023","unstructured":"Dutta, R., Das, N., Majumder, M., Jana, B.: Aspect based sentiment analysis using multi-criteria decision-making and deep learning under COVID-19 pandemic in India. CAAI Trans. Intell. Technol. 8(1), 219\u2013234 (2023)","journal-title":"CAAI Trans. Intell. Technol."},{"issue":"2","key":"1_CR3","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1086\/692983","volume":"123","author":"RD Flores","year":"2017","unstructured":"Flores, R.D.: Do anti-immigrant laws shape public emotion? A study of Arizona\u2019s SB 1070 using Twitter data. Am. J. Sociol. 123(2), 333\u2013384 (2017)","journal-title":"Am. J. Sociol."},{"issue":"9","key":"1_CR4","doi-asserted-by":"publisher","first-page":"1707","DOI":"10.1177\/00420980211064136","volume":"60","author":"J He","year":"2023","unstructured":"He, J., Zhang, Y.: Urban epidemic governance: an event system analysis of the outbreak and control of COVID-19 in Wuhan. China. Urban Studies 60(9), 1707\u20131729 (2023)","journal-title":"China. Urban Studies"},{"key":"1_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119492","volume":"217","author":"Z Hu","year":"2023","unstructured":"Hu, Z., Wang, Z., Wang, Y., Tan, A.H.: MSRL-Net: a multi-level semantic relation-enhanced learning network for aspect-based sentiment analysis. Expert Syst. Appl. 217, 119492 (2023)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"1_CR6","doi-asserted-by":"publisher","DOI":"10.2196\/25431","volume":"23","author":"H Jang","year":"2021","unstructured":"Jang, H., Rempel, E., Roth, D., Carenini, G., Janjua, N.Z.: Tracking COVID-19 discourse on twitter in North America: Infodemiology study using topic modeling and aspect-based sentiment analysis. J. Med. Internet Res. 23(2), e25431 (2021)","journal-title":"J. Med. Internet Res."},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Jangid, H., Singhal, S., Shah, R.R., Zimmermann, R. Aspect-based financial sentiment analysis using deep learning. In: Proceedings of the Web Conference, pp. 1961\u20131966 (2018)","DOI":"10.1145\/3184558.3191827"},{"issue":"1","key":"1_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2023.103539","volume":"61","author":"Z Jian","year":"2024","unstructured":"Jian, Z., Li, J., Wu, Q., Yao, J.: Retrieval contrastive learning for aspect-level sentiment classification. Inf. Process. Manage. 61(1), 103539 (2024)","journal-title":"Inf. Process. Manage."},{"issue":"4","key":"1_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3460124","volume":"12","author":"G Liang","year":"2021","unstructured":"Liang, G., Zhao, J., Lau, H.Y.P., Leung, C.W.K.: Using social media to analyze public concerns and policy responses to COVID-19 in Hong Kong. ACM Trans. Manag. Inf. Syst. 12(4), 1\u201320 (2021)","journal-title":"ACM Trans. Manag. Inf. Syst."},{"key":"1_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.108842","volume":"122","author":"K Nimmi","year":"2022","unstructured":"Nimmi, K., Janet, B., Selvan, A.K., Sivakumaran, N.: Pre-trained ensemble model for identification of emotion during COVID-19 based on emergency response support system dataset. Appl. Soft Comput. 122, 108842 (2022)","journal-title":"Appl. Soft Comput."},{"issue":"2","key":"1_CR11","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/BF01405732","volume":"4","author":"TB Smith","year":"1973","unstructured":"Smith, T.B.: The policy implementation process. Policy. Sci. 4(2), 197\u2013209 (1973)","journal-title":"Policy. Sci."},{"issue":"19","key":"1_CR12","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2117292119","volume":"119","author":"PC Sukhwal","year":"2022","unstructured":"Sukhwal, P.C., Kankanhalli, A.: Determining containment policy impacts on public emotion during the pandemic using social media data. Proc. Natl. Acad. Sci. 119(19), e2117292119 (2022)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"8","key":"1_CR13","doi-asserted-by":"publisher","DOI":"10.2196\/28249","volume":"23","author":"AM Tri Sakti","year":"2021","unstructured":"Tri Sakti, A.M., Mohamad, E., Azlan, A.A.: Mining of opinions on COVID-19 large-scale social restrictions in Indonesia: public emotion and emotion analysis on online media. J. Med. Internet Res. 23(8), e28249 (2021)","journal-title":"J. Med. Internet Res."},{"issue":"06","key":"1_CR14","first-page":"49","volume":"22","author":"H Wen","year":"2022","unstructured":"Wen, H., Zheng, J.: On Differences about public emotion feedback of public policies making in major public health emergencies. J. Beijing Univ. Technol. 22(06), 49\u201366 (2022). (Social Sciences Edition)","journal-title":"J. Beijing Univ. Technol."},{"key":"1_CR15","doi-asserted-by":"crossref","unstructured":"Wu, Z., Ong, D.C.: Context-guided BERT for targeted aspect-based sentiment analysis. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp.14094\u201314102 (2021)","DOI":"10.1609\/aaai.v35i16.17659"}],"container-title":["Lecture Notes in Business Information Processing","E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-60260-3_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,22]],"date-time":"2024-05-22T05:06:52Z","timestamp":1716354412000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-60260-3_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031602597","9783031602603"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-60260-3_1","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"23 May 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WHICEB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan International Conference on E-business","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 May 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"whiceb2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/whiceb.cug.edu.cn\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}