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International Conference on Electronic Governance and Open Society: Challenges in Eurasia

EGOSE 2018: Electronic Governance and Open Society: Challenges in Eurasia pp 111–122Cite as

Person, Organization, or Personage: Towards User Account Type Prediction in Microblogs

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 947))

Abstract

During the past decade, microblog services have been extensively utilized by millions of business and private users as one of the most powerful information broadcasting tools. For example, Twitter attracted many social science researchers due to its high popularity, constrained format of thought expression, and the ability to react actual trends. However, unstructured data from microblogs often suffer from the lack of representativeness due to the tremendous amount of noise. Such noise is often introduced by the activity of organizational and fake user ac-counts that may not be useful in many application domains. Aiming to tackle the information filtering problem, in this paper, we classify Twitter accounts into three categories: “Personal”, “Organization”, and “Personage”. Specifically, we utilize various text-based data representation approaches to extract features for our proposed microblog account type prediction framework “POP-MAP”. To study the problem at a cross-language level, we harvested and learned from a multi-lingual Twitter dataset, which allows us to achieve better classification performance, as compared to various state-of-the-art baselines.

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Notes

  1. 1.

    http://twitter.com/adidas.

  2. 2.

    http://twitter.com/dbsbank.

  3. 3.

    http://twitter.com/hermitage_eng.

  4. 4.

    http://twitter.com/realgrumpycat.

  5. 5.

    http://twitter.com/arrypottah.

  6. 6.

    http://twitter.com/facebook.

  7. 7.

    http://twitter.com/google.

  8. 8.

    http://twitter.com/yandex.

  9. 9.

    http://twitter.com/vkontakte.

  10. 10.

    http://twitter.com/zeppos.

  11. 11.

    http://twitter.com/durov.

  12. 12.

    http://twitter.com/jimmy_wales.

  13. 13.

    http://dict.ruslang.ru/freq.php.

  14. 14.

    http://www.wordfrequency.info.

  15. 15.

    http://languagetool.org.

  16. 16.

    http://twitter.com/yandextaxi.

  17. 17.

    http://twitter.com/yandexmarket.

  18. 18.

    http://www.cs.waikato.ac.nz/ml/weka/.

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Author information

Authors and Affiliations

  1. ITMO University, 49 Kronverksky Pr., St. Petersburg, 197101, Russia

    Ivan Samborskii, Andrey Filchenkov, Georgiy Korneev & Alex Farseev

  2. National University of Singapore, 13 Computing Dr., Singapore, 117417, Singapore

    Ivan Samborskii

  3. SoMin Research, Singapore, Singapore

    Alex Farseev

Authors
  1. Ivan Samborskii
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  2. Andrey Filchenkov
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  3. Georgiy Korneev
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  4. Alex Farseev
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Corresponding author

Correspondence to Andrey Filchenkov .

Editor information

Editors and Affiliations

  1. eGovernance Center, ITMO University, St. Petersburg, Russia

    Andrei Chugunov

  2. Institute of Communications Studies, University of Leeds, Leeds, UK

    Yuri Misnikov

  3. North-West Institute of Management, Russian Presidential Academy of National Economy and Public Administration, St. Petersburg, Russia

    Evgeny Roshchin

  4. eGovernance Center, ITMO University, St. Petersburg, Russia

    Dmitrii Trutnev

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Samborskii, I., Filchenkov, A., Korneev, G., Farseev, A. (2019). Person, Organization, or Personage: Towards User Account Type Prediction in Microblogs. In: Chugunov, A., Misnikov, Y., Roshchin, E., Trutnev, D. (eds) Electronic Governance and Open Society: Challenges in Eurasia. EGOSE 2018. Communications in Computer and Information Science, vol 947. Springer, Cham. https://doi.org/10.1007/978-3-030-13283-5_9

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  • DOI: https://doi.org/10.1007/978-3-030-13283-5_9

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  • Online ISBN: 978-3-030-13283-5

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