Research trends on big data domain using text mining algorithms.
Most of the theories have considered big data as an interesting subject in the information technology domain. Big data is a term for describing huge databases that traditional methods in data processing suffer from analyzing them. Recognizing and clustering emerging topics in this area will help res...
| Publicado en: | Digital Scholarship in the Humanities Vol. 36; no. 2; pp. 361 - 371 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Jun2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=152743586&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 152743586 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Jun2021 vid: 36 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 152743586 10.1093/llc/fqaa012 ppf: 361 ppct: 10 formats: fmt: @attributes: type: P size: 303KB tig: atl: Research trends on big data domain using text mining algorithms. aug: au: Jalali, Seyed Mohammad Jafar Park, Han Woo Vanani, Iman Raeesi Pho, Kim-Hung affil: Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University , Waurn Ponds, Australia Department of Media and Communication, Interdisciplinary Program of Digital Convergence Business, Cyber Emotions Research Center, YeungNam University , Gyeongsan-si, South Korea Department of Industrial Management, Faculty of Management, Allameh Tabatabai University , Tehran, Iran Fractional Calculus, Optimization and Algebra Research Group, Faculty of Mathematics and Statistics, Ton Duc Thang University , Ho Chi Minh City, Vietnam su: Big data Social network analysis Algorithms Electronic data processing sug: subj: Big data Social network analysis Algorithms Electronic data processing ab: Most of the theories have considered big data as an interesting subject in the information technology domain. Big data is a term for describing huge databases that traditional methods in data processing suffer from analyzing them. Recognizing and clustering emerging topics in this area will help researchers whose aim is to work on this interesting subject. Text mining and social network analysis algorithms are utilized for identifying the emerging trends for big data domain. In this study, at first, we gathered the whole papers that are relevant to big data domain and then the word co-occurrence network was created based on the extracted keywords. Then the best clusters were identified and the relationship between keywords was recognized by the association rules technique. In conclusion, some suggestions were mentioned for future studies. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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