Evaluating classification schemes for second screen interactions

Partha Mukherjee; Bernard J. Jansen

doi:10.1109/ICCNC.2015.7069462

Evaluating classification schemes for second screen interactions

Partha Mukherjee, Bernard J. Jansen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

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 language	English (US)
Title of host publication	2015 International Conference on Computing, Networking and Communications, ICNC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	879-883
Number of pages	5
ISBN (Electronic)	9781479969593
DOIs	https://doi.org/10.1109/ICCNC.2015.7069462
State	Published - Mar 26 2015
Event	2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States Duration: Feb 16 2015 → Feb 19 2015

Publication series

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

Other

Other	2015 International Conference on Computing, Networking and Communications, ICNC 2015
Country/Territory	United States
City	Garden Grove
Period	2/16/15 → 2/19/15

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1109/ICCNC.2015.7069462

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). Article 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

@inproceedings{0e81b6e01a9c481db9ef155b5501956b,

title = "Evaluating classification schemes for second screen interactions",

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.",

author = "Partha Mukherjee and Jansen, {Bernard J.}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 International Conference on Computing, Networking and Communications, ICNC 2015 ; Conference date: 16-02-2015 Through 19-02-2015",

year = "2015",

month = mar,

day = "26",

doi = "10.1109/ICCNC.2015.7069462",

language = "English (US)",

series = "2015 International Conference on Computing, Networking and Communications, ICNC 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "879--883",

booktitle = "2015 International Conference on Computing, Networking and Communications, ICNC 2015",

address = "United States",

}

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 proceeding › Conference contribution

TY - GEN

T1 - Evaluating classification schemes for second screen interactions

AU - Mukherjee, Partha

AU - Jansen, Bernard J.

PY - 2015/3/26

Y1 - 2015/3/26

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.

UR - http://www.scopus.com/inward/record.url?scp=84928036826&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928036826&partnerID=8YFLogxK

U2 - 10.1109/ICCNC.2015.7069462

DO - 10.1109/ICCNC.2015.7069462

M3 - Conference contribution

AN - SCOPUS:84928036826

T3 - 2015 International Conference on Computing, Networking and Communications, ICNC 2015

SP - 879

EP - 883

BT - 2015 International Conference on Computing, Networking and Communications, ICNC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 International Conference on Computing, Networking and Communications, ICNC 2015

Y2 - 16 February 2015 through 19 February 2015

ER -

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). doi: 10.1109/ICCNC.2015.7069462

Evaluating classification schemes for second screen interactions

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this