{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T02:46:56Z","timestamp":1743130016829,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031082764"},{"type":"electronic","value":"9783031082771"}],"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\/978-3-031-08277-1_11","type":"book-chapter","created":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T12:13:01Z","timestamp":1655381581000},"page":"132-138","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Building a\u00a0Multilingual Corpus of\u00a0Tweets Relating to\u00a0Algerian Higher Education"],"prefix":"10.1007","author":[{"given":"Asma","family":"Siagh","sequence":"first","affiliation":[]},{"given":"Fatima Zohra","family":"Laallam","sequence":"additional","affiliation":[]},{"given":"Okba","family":"Kazar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,17]]},"reference":[{"issue":"1","key":"11_CR1","first-page":"128","volume":"62","author":"N Kordzadeh","year":"2022","unstructured":"Kordzadeh, N., Young, D.K.: How social media analytics can inform content strategies. J. Comput. Inf. Syst. 62(1), 128\u2013140 (2022)","journal-title":"J. Comput. Inf. Syst."},{"key":"11_CR2","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.dss.2018.03.004","volume":"110","author":"CW Holsapple","year":"2018","unstructured":"Holsapple, C.W., Hsiao, S.H., Pakath, R.: Business social media analytics: characterization and conceptual framework. Decis. Support Syst. 110, 32\u201345 (2018)","journal-title":"Decis. Support Syst."},{"issue":"4","key":"11_CR3","doi-asserted-by":"publisher","first-page":"1277","DOI":"10.1007\/s13278-012-0079-3","volume":"3","author":"S Stieglitz","year":"2012","unstructured":"Stieglitz, S., Dang-Xuan, L.: Social media and political communication: a social media analytics framework. Soc. Netw. Anal. Min. 3(4), 1277\u20131291 (2012). https:\/\/doi.org\/10.1007\/s13278-012-0079-3","journal-title":"Soc. Netw. Anal. Min."},{"issue":"12","key":"11_CR4","doi-asserted-by":"publisher","first-page":"1094","DOI":"10.1002\/mar.21049","volume":"34","author":"A Micu","year":"2017","unstructured":"Micu, A., Micu, A.E., Geru, M., Lixandroiu, R.C.: Analyzing user sentiment in social media: implications for online marketing strategy. Psychol. Mark. 34(12), 1094\u20131100 (2017)","journal-title":"Psychol. Mark."},{"key":"11_CR5","doi-asserted-by":"publisher","unstructured":"Wu, S.-J., Chiang, R.-D., Chang, H.-C.: Applying sentiment analysis in social web for smart decision support marketing. J. Ambient Intell. Human. Comput. 1\u201310 (2018). https:\/\/doi.org\/10.1007\/s12652-018-0683-9","DOI":"10.1007\/s12652-018-0683-9"},{"key":"11_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.techfore.2021.120667","volume":"166","author":"F Franch","year":"2021","unstructured":"Franch, F.: Political preferences nowcasting with factor analysis and internet data: the 2012 and 2016 US presidential elections. Technol. Forecast. Soc. Chang. 166, 120667 (2021)","journal-title":"Technol. Forecast. Soc. Chang."},{"issue":"5","key":"11_CR7","doi-asserted-by":"publisher","first-page":"3052","DOI":"10.1007\/s10489-020-02033-3","volume":"51","author":"A Amara","year":"2021","unstructured":"Amara, A., Hadj Taieb, M.A., Ben Aouicha, M.: Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis. Appl. Intell. 51(5), 3052\u20133073 (2021). https:\/\/doi.org\/10.1007\/s10489-020-02033-3","journal-title":"Appl. Intell."},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Katia, R., D\u2019almeida, N., Chamoun, M.: Social big data: a Twitter text mining approach to the communication of universities during the Lebanese protests. In: 2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security), pp. 1\u20138. IEEE (2020)","DOI":"10.1109\/CyberSecurity49315.2020.9138876"},{"issue":"2","key":"11_CR9","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s11576-014-0407-5","volume":"56","author":"S Stieglitz","year":"2014","unstructured":"Stieglitz, S., Dang-Xuan, L., Bruns, A., Neuberger, C.: Social media analytics. Wirtschaftsinformatik 56(2), 101\u2013109 (2014)","journal-title":"Wirtschaftsinformatik"},{"issue":"3","key":"11_CR10","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1109\/TLT.2013.2296520","volume":"7","author":"X Chen","year":"2014","unstructured":"Chen, X., Vorvoreanu, M., Madhavan, K.P.: Mining social media data for understanding students\u2019 learning experiences. IEEE Trans. Learn. Technol. 7(3), 246\u2013259 (2014). https:\/\/doi.org\/10.1109\/TLT.2013.2296520","journal-title":"IEEE Trans. Learn. Technol."},{"key":"11_CR11","unstructured":"Tankovska, H.: Twitter-statistics & facts. https:\/\/www.statista.com\/ topics\/737\/twitter\/"},{"key":"11_CR12","unstructured":"Wissler, L., Almashraee, M., D\u00edaz, D.M., Paschke, A.: The Gold Standard in Corpus Annotation. In: IEEE GSC (2014)"},{"key":"11_CR13","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/978-3-030-46224-6_8","volume-title":"Decision Support Systems X: Cognitive Decision Support Systems and Technologies","author":"VDH de Carvalho","year":"2020","unstructured":"de Carvalho, V.D.H., Nepomuceno, T.C.C., Costa, A.P.C.S.: An automated corpus annotation experiment in Brazilian Portuguese for sentiment analysis in public security. In: Moreno-Jim\u00e9nez, J.M., Linden, I., Dargam, F., Jayawickrama, U. (eds.) ICDSST 2020. LNBIP, vol. 384, pp. 99\u2013111. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-46224-6_8"}],"container-title":["Communications in Computer and Information Science","Intelligent Systems and Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-08277-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T01:40:54Z","timestamp":1727401254000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-08277-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031082764","9783031082771"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-08277-1_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"17 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems and Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hammamet","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tunisia","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":"24 March 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 March 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ispr22022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ispr2022.sciencesconf.org\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"91","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":"22","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":"10","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":"24% - 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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was held online.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}