An initial research to segment a crowdsourcing project participants using text mining

Başar Öztayşi; Lara Cemcem

doi:10.1142/9789814417747_0135

An initial research to segment a crowdsourcing project participants using text mining

Başar Öztayşi, Lara Cemcem

Department of Industrial Engineering

Istanbul Technical University

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

Abstract

Crowd creation is a branch of crowdsourcing that focus on creation of activities such as asking individuals to film TV commercials, perform language translation or solve challenging scientific problems. BurtonStory is a crowd creation project by Tim Burton that was run over twitter between November 20th and December 6th of 2010. The author started a new story with a single sentence, and the rest of the story is created by the crowd. The aim of this paper is to analyze participants based on their profile information using text mining approach.

Original language	English
Title of host publication	World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Publisher	World Scientific Publishing Co. Pte Ltd
Pages	845-850
Number of pages	6
ISBN (Print)	9789814417730
DOIs	https://doi.org/10.1142/9789814417747_0135
Publication status	Published - 2012
Event	10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey Duration: 26 Aug 2012 → 29 Aug 2012

Publication series

Name	World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Volume	7

Conference

Conference	10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Country/Territory	Turkey
City	Istanbul
Period	26/08/12 → 29/08/12

Access to Document

10.1142/9789814417747_0135

Cite this

Öztayşi, B., & Cemcem, L. (2012). An initial research to segment a crowdsourcing project participants using text mining. In World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf. (pp. 845-850). (World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.; Vol. 7). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789814417747_0135

Öztayşi, Başar ; Cemcem, Lara. / An initial research to segment a crowdsourcing project participants using text mining. World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.. World Scientific Publishing Co. Pte Ltd, 2012. pp. 845-850 (World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.).

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abstract = "Crowd creation is a branch of crowdsourcing that focus on creation of activities such as asking individuals to film TV commercials, perform language translation or solve challenging scientific problems. BurtonStory is a crowd creation project by Tim Burton that was run over twitter between November 20th and December 6th of 2010. The author started a new story with a single sentence, and the rest of the story is created by the crowd. The aim of this paper is to analyze participants based on their profile information using text mining approach.",

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booktitle = "World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.",

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Öztayşi, B & Cemcem, L 2012, An initial research to segment a crowdsourcing project participants using text mining. in World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.. World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf., vol. 7, World Scientific Publishing Co. Pte Ltd, pp. 845-850, 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012, Istanbul, Turkey, 26/08/12. https://doi.org/10.1142/9789814417747_0135

An initial research to segment a crowdsourcing project participants using text mining. / Öztayşi, Başar; Cemcem, Lara.
World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.. World Scientific Publishing Co. Pte Ltd, 2012. p. 845-850 (World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.; Vol. 7).

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

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Öztayşi B, Cemcem L. An initial research to segment a crowdsourcing project participants using text mining. In World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.. World Scientific Publishing Co. Pte Ltd. 2012. p. 845-850. (World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.). doi: 10.1142/9789814417747_0135

An initial research to segment a crowdsourcing project participants using text mining

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