Computational Analysis of Storylines: Making Sense of Events Computational Analysis of Storylines: Making Sense of Events , edited by Tommaso Caselli, Eduard Hovy, Martha Palmer, and Piek Vossen, Cambridge University Press, New York, 2021, 260 pp., $69.99, ISBN: 978-1-108-49057-3, Hardback.
{"title":"Computational Analysis of Storylines: Making Sense of Events <b>Computational Analysis of Storylines: Making Sense of Events</b> , edited by Tommaso Caselli, Eduard Hovy, Martha Palmer, and Piek Vossen, Cambridge University Press, New York, 2021, 260 pp., $69.99, ISBN: 978-1-108-49057-3, Hardback.","authors":"Fan Yang","doi":"10.1080/08838151.2023.2264433","DOIUrl":null,"url":null,"abstract":"Click to increase image sizeClick to decrease image size Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsFan YangFan Yang (Ph.D. Pennsylvania State University) is an assistant professor in the Zimmerman School of Advertising and Mass Communications at the University of South Florida. Her research centers on psychology of emerging communication technologies using classic quantitative and advance research methods including survey, experiment, meta-analysis, text mining, and network analysis.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/08838151.2023.2264433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 4
Abstract
Click to increase image sizeClick to decrease image size Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsFan YangFan Yang (Ph.D. Pennsylvania State University) is an assistant professor in the Zimmerman School of Advertising and Mass Communications at the University of South Florida. Her research centers on psychology of emerging communication technologies using classic quantitative and advance research methods including survey, experiment, meta-analysis, text mining, and network analysis.
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