Evaluating classification schemes for second screen interactions

Partha Mukherjee, Bernard J. Jansen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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
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
Publication statusPublished - 26 Mar 2015
Externally publishedYes
Event2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States
Duration: 16 Feb 201519 Feb 2015

Publication series

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

Conference

Conference2015 International Conference on Computing, Networking and Communications, ICNC 2015
Country/TerritoryUnited States
CityGarden Grove
Period16/02/1519/02/15

Keywords

  • PCA
  • entropy
  • informed groups
  • misclassification
  • second screen
  • social TV

Fingerprint

Dive into the research topics of 'Evaluating classification schemes for second screen interactions'. Together they form a unique fingerprint.

Cite this