The keywords of affecting performance for live streaming

Long Sheng Chen; Yi Ting Pan

doi:10.1007/978-3-030-03745-1_30

The keywords of affecting performance for live streaming

Long Sheng Chen
, Yi Ting Pan

Department of Industrial Engineering and Management

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

Abstract

Watching other people playing games on live streaming platforms have become more popular. In published literature, most of researches on live streaming focused on predicting the number of viewers in the live streaming period, explaining the high peak of the audience in a game, and finding out popular live streamers, and discussing usage behaviors such as exploring the gift giving. However, from available literature, relatively few works focus on discussing the text chats/comments which can affect other users’ watching behaviors. Therefore, this study aims to find important terms that affect viewing of live streaming. We used live game streaming as our study target. Using the comments of the audience in the chat room of the Twitch live streaming platform as experimental samples. Text mining and feature selection methods, including Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine-Recursive Feature (SVM-RFE) and chi-square test (χ^2 test), to find important terms that affect viewing of live streaming.

Original language	English
Title of host publication	Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Editors	Pei-Wei Tsai, Akinori Ito, Lakhmi C. Jain, Lakhmi C. Jain, Jeng-Shyang Pan, Lakhmi C. Jain
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	241-248
Number of pages	8
ISBN (Print)	9783030037444
DOIs	https://doi.org/10.1007/978-3-030-03745-1_30
State	Published - 2019
Event	14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 - Sendai, Japan Duration: 26 Nov 2018 → 28 Nov 2018

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	109
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018
Country/Territory	Japan
City	Sendai
Period	26/11/18 → 28/11/18

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Keywords

Comments
Feature selection
Game
Live streaming
Text mining

Access to Document

10.1007/978-3-030-03745-1_30

Cite this

Chen, L. S., & Pan, Y. T. (2019). The keywords of affecting performance for live streaming. In P.-W. Tsai, A. Ito, L. C. Jain, L. C. Jain, J.-S. Pan, & L. C. Jain (Eds.), Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (pp. 241-248). (Smart Innovation, Systems and Technologies; Vol. 109). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-03745-1_30

Chen, Long Sheng ; Pan, Yi Ting. / The keywords of affecting performance for live streaming. Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. editor / Pei-Wei Tsai ; Akinori Ito ; Lakhmi C. Jain ; Lakhmi C. Jain ; Jeng-Shyang Pan ; Lakhmi C. Jain. Springer Science and Business Media Deutschland GmbH, 2019. pp. 241-248 (Smart Innovation, Systems and Technologies).

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title = "The keywords of affecting performance for live streaming",

abstract = "Watching other people playing games on live streaming platforms have become more popular. In published literature, most of researches on live streaming focused on predicting the number of viewers in the live streaming period, explaining the high peak of the audience in a game, and finding out popular live streamers, and discussing usage behaviors such as exploring the gift giving. However, from available literature, relatively few works focus on discussing the text chats/comments which can affect other users{\textquoteright} watching behaviors. Therefore, this study aims to find important terms that affect viewing of live streaming. We used live game streaming as our study target. Using the comments of the audience in the chat room of the Twitch live streaming platform as experimental samples. Text mining and feature selection methods, including Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine-Recursive Feature (SVM-RFE) and chi-square test (χ\textasciicircum{}2 test), to find important terms that affect viewing of live streaming.",

keywords = "Comments, Feature selection, Game, Live streaming, Text mining",

author = "Chen, \{Long Sheng\} and Pan, \{Yi Ting\}",

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Chen, LS & Pan, YT 2019, The keywords of affecting performance for live streaming. in P-W Tsai, A Ito, LC Jain, LC Jain, J-S Pan & LC Jain (eds), Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol. 109, Springer Science and Business Media Deutschland GmbH, pp. 241-248, 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018, Sendai, Japan, 26/11/18. https://doi.org/10.1007/978-3-030-03745-1_30

The keywords of affecting performance for live streaming. / Chen, Long Sheng; Pan, Yi Ting.
Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. ed. / Pei-Wei Tsai; Akinori Ito; Lakhmi C. Jain; Lakhmi C. Jain; Jeng-Shyang Pan; Lakhmi C. Jain. Springer Science and Business Media Deutschland GmbH, 2019. p. 241-248 (Smart Innovation, Systems and Technologies; Vol. 109).

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

TY - GEN

T1 - The keywords of affecting performance for live streaming

AU - Chen, Long Sheng

AU - Pan, Yi Ting

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

Y1 - 2019

N2 - Watching other people playing games on live streaming platforms have become more popular. In published literature, most of researches on live streaming focused on predicting the number of viewers in the live streaming period, explaining the high peak of the audience in a game, and finding out popular live streamers, and discussing usage behaviors such as exploring the gift giving. However, from available literature, relatively few works focus on discussing the text chats/comments which can affect other users’ watching behaviors. Therefore, this study aims to find important terms that affect viewing of live streaming. We used live game streaming as our study target. Using the comments of the audience in the chat room of the Twitch live streaming platform as experimental samples. Text mining and feature selection methods, including Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine-Recursive Feature (SVM-RFE) and chi-square test (χ^2 test), to find important terms that affect viewing of live streaming.

AB - Watching other people playing games on live streaming platforms have become more popular. In published literature, most of researches on live streaming focused on predicting the number of viewers in the live streaming period, explaining the high peak of the audience in a game, and finding out popular live streamers, and discussing usage behaviors such as exploring the gift giving. However, from available literature, relatively few works focus on discussing the text chats/comments which can affect other users’ watching behaviors. Therefore, this study aims to find important terms that affect viewing of live streaming. We used live game streaming as our study target. Using the comments of the audience in the chat room of the Twitch live streaming platform as experimental samples. Text mining and feature selection methods, including Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine-Recursive Feature (SVM-RFE) and chi-square test (χ^2 test), to find important terms that affect viewing of live streaming.

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Y2 - 26 November 2018 through 28 November 2018

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Chen LS, Pan YT. The keywords of affecting performance for live streaming. In Tsai PW, Ito A, Jain LC, Jain LC, Pan JS, Jain LC, editors, Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. Springer Science and Business Media Deutschland GmbH. 2019. p. 241-248. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-030-03745-1_30

The keywords of affecting performance for live streaming

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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