Using Face Recognition with Twitter Data for the Study of International Migration

Item request has been placed! ×
Item request cannot be made. ×
  Processing Request
  • Additional Information
    • Publication Information:
      Inforec Association, 2018.
    • Publication Date:
      2018
    • Collection:
      LCC:Computer engineering. Computer hardware
      LCC:Bibliography. Library science. Information resources
    • Abstract:
      The level of widely used technology has tremendously increased in recent years, and the inter-net has genuinely reshaped the way we learn, communicate and live. As a result, social data availability, complexity, and diversity steadily grow. In the same time, the computational ma-chine power constantly unlocks opportunities to provide innovative techniques. By leveraging that power in statistics, powerful algorithms, such as neural networks, started to be applied in various fields. Image Processing has been a subject of broad interest and face recognition has been an essential part of this field in recent years. This paper aims to leverage all these re-sources to provide an overview of how social media data can be collected and analyzed using R. The result of this paper is represented by an innovative algorithm able to retrieve and analyze Twitter information. Moreover, this paper also provides a snapshot of the Romanian Twitter users’ demographics and mobility.
    • File Description:
      electronic resource
    • ISSN:
      1453-1305
      1842-8088
      14531305
    • Relation:
      http://revistaie.ase.ro/content/88/03%20-%20florea,%20roman.pdf; https://doaj.org/toc/1453-1305; https://doaj.org/toc/1842-8088
    • Accession Number:
      10.12948/issn14531305/22.4.2018.03
    • Rights:
      Journal Licence: CC BY
    • Accession Number:
      edsdoj.f0184730dec34045955c900c6f0bcbd0
  • Citations
    • ABNT:
      ALEXANDRU FLOREA; MONICA ROMAN. Using Face Recognition with Twitter Data for the Study of International Migration. Informatică economică, [s. l.], n. 4, p. 31, 2018. Disponível em: . Acesso em: 18 out. 2019.
    • AMA:
      Alexandru FLOREA, Monica ROMAN. Using Face Recognition with Twitter Data for the Study of International Migration. Informatică economică. 2018;(4):31. doi:10.12948/issn14531305/22.4.2018.03.
    • APA:
      Alexandru FLOREA, & Monica ROMAN. (2018). Using Face Recognition with Twitter Data for the Study of International Migration. Informatică Economică, (4), 31. https://doi.org/10.12948/issn14531305/22.4.2018.03
    • Chicago/Turabian: Author-Date:
      Alexandru FLOREA, and Monica ROMAN. 2018. “Using Face Recognition with Twitter Data for the Study of International Migration.” Informatică Economică, no. 4: 31. doi:10.12948/issn14531305/22.4.2018.03.
    • Harvard:
      Alexandru FLOREA and Monica ROMAN (2018) ‘Using Face Recognition with Twitter Data for the Study of International Migration’, Informatică economică, (4), p. 31. doi: 10.12948/issn14531305/22.4.2018.03.
    • Harvard: Australian:
      Alexandru FLOREA & Monica ROMAN 2018, ‘Using Face Recognition with Twitter Data for the Study of International Migration’, Informatică economică, no. 4, p. 31, viewed 18 October 2019, .
    • MLA:
      Alexandru FLOREA, and Monica ROMAN. “Using Face Recognition with Twitter Data for the Study of International Migration.” Informatică Economică, no. 4, 2018, p. 31. EBSCOhost, doi:10.12948/issn14531305/22.4.2018.03.
    • Chicago/Turabian: Humanities:
      Alexandru FLOREA, and Monica ROMAN. “Using Face Recognition with Twitter Data for the Study of International Migration.” Informatică Economică, no. 4 (2018): 31. doi:10.12948/issn14531305/22.4.2018.03.
    • Vancouver/ICMJE:
      Alexandru FLOREA, Monica ROMAN. Using Face Recognition with Twitter Data for the Study of International Migration. Informatică economică [Internet]. 2018 [cited 2019 Oct 18];(4):31. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.f0184730dec34045955c900c6f0bcbd0&custid=s8280428