Evaluating classification schemes for second screen interactions

Partha Mukherjee, Bernard J. Jansen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We analyze the performance of classification schemes on information collected from social conversation posted in Twitter among audiences of a popular US based TV show. In this research, we consider entropy as a measure of information exchange in a group conversation that is related to social, temporal, and second screen device features. The group conversations are identified by hashtags present in tweets where the number of members in the group interacting is at least two. We apply different classification schemes to more than 4,900 groups identified from 318,000 tweets. The result shows that 5-nn algorithm outperformed the other procedures in terms of misclassification error to identify the informed groups.

Original languageEnglish (US)
Title of host publication2015 International Conference on Computing, Networking and Communications, ICNC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages879-883
Number of pages5
ISBN (Electronic)9781479969593
DOIs
StatePublished - Mar 26 2015
Event2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States
Duration: Feb 16 2015Feb 19 2015

Publication series

Name2015 International Conference on Computing, Networking and Communications, ICNC 2015

Other

Other2015 International Conference on Computing, Networking and Communications, ICNC 2015
CountryUnited States
CityGarden Grove
Period2/16/152/19/15

Fingerprint

Entropy

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Mukherjee, P., & Jansen, B. J. (2015). Evaluating classification schemes for second screen interactions. In 2015 International Conference on Computing, Networking and Communications, ICNC 2015 (pp. 879-883). [7069462] (2015 International Conference on Computing, Networking and Communications, ICNC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCNC.2015.7069462
Mukherjee, Partha ; Jansen, Bernard J. / Evaluating classification schemes for second screen interactions. 2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 879-883 (2015 International Conference on Computing, Networking and Communications, ICNC 2015).
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Mukherjee, P & Jansen, BJ 2015, Evaluating classification schemes for second screen interactions. in 2015 International Conference on Computing, Networking and Communications, ICNC 2015., 7069462, 2015 International Conference on Computing, Networking and Communications, ICNC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 879-883, 2015 International Conference on Computing, Networking and Communications, ICNC 2015, Garden Grove, United States, 2/16/15. https://doi.org/10.1109/ICCNC.2015.7069462

Evaluating classification schemes for second screen interactions. / Mukherjee, Partha; Jansen, Bernard J.

2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 879-883 7069462 (2015 International Conference on Computing, Networking and Communications, ICNC 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - We analyze the performance of classification schemes on information collected from social conversation posted in Twitter among audiences of a popular US based TV show. In this research, we consider entropy as a measure of information exchange in a group conversation that is related to social, temporal, and second screen device features. The group conversations are identified by hashtags present in tweets where the number of members in the group interacting is at least two. We apply different classification schemes to more than 4,900 groups identified from 318,000 tweets. The result shows that 5-nn algorithm outperformed the other procedures in terms of misclassification error to identify the informed groups.

AB - We analyze the performance of classification schemes on information collected from social conversation posted in Twitter among audiences of a popular US based TV show. In this research, we consider entropy as a measure of information exchange in a group conversation that is related to social, temporal, and second screen device features. The group conversations are identified by hashtags present in tweets where the number of members in the group interacting is at least two. We apply different classification schemes to more than 4,900 groups identified from 318,000 tweets. The result shows that 5-nn algorithm outperformed the other procedures in terms of misclassification error to identify the informed groups.

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Mukherjee P, Jansen BJ. Evaluating classification schemes for second screen interactions. In 2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 879-883. 7069462. (2015 International Conference on Computing, Networking and Communications, ICNC 2015). https://doi.org/10.1109/ICCNC.2015.7069462