A game of lines: Developing game mechanics for text classification

Research output: Contribution to journal › Conference article › Research › peer-review

Standard

A game of lines : Developing game mechanics for text classification. / Di Nunzio, Giorgio Maria; Maistro, Maria; Zilio, Daniel.

In: CEUR Workshop Proceedings, Vol. 1911, 01.01.2017, p. 40-47.

Research output: Contribution to journal › Conference article › Research › peer-review

Harvard

Di Nunzio, GM, Maistro, M & Zilio, D 2017, 'A game of lines: Developing game mechanics for text classification', CEUR Workshop Proceedings, vol. 1911, pp. 40-47.

APA

Di Nunzio, G. M., Maistro, M., & Zilio, D. (2017). A game of lines: Developing game mechanics for text classification. CEUR Workshop Proceedings, 1911, 40-47.

Vancouver

Di Nunzio GM, Maistro M, Zilio D. A game of lines: Developing game mechanics for text classification. CEUR Workshop Proceedings. 2017 Jan 1;1911:40-47.

Author

Di Nunzio, Giorgio Maria ; Maistro, Maria ; Zilio, Daniel. / A game of lines : Developing game mechanics for text classification. In: CEUR Workshop Proceedings. 2017 ; Vol. 1911. pp. 40-47.

Bibtex

@inproceedings{517b5311f2bb4d2f9f8f08d65a6ed46e,
title = "A game of lines: Developing game mechanics for text classification",
abstract = "In this paper, we describe a set of experiments that turn the machine learning classification task into a game, through gamification techniques, and let non expert users to perform text classification without even knowing the problem. The application is implemented in R using the Shiny package for interactive graphics. We present the outcome of three different experiments: A pilot experiment with PhD and post-doc students, and two experiments carried out with primary and secondary school students. The results show that the human aided classifier performs similarly and sometimes even better than state of the art classifiers.",
author = "{Di Nunzio}, {Giorgio Maria} and Maria Maistro and Daniel Zilio",
year = "2017",
month = jan,
day = "1",
language = "English",
volume = "1911",
pages = "40--47",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "ceur workshop proceedings",
note = "8th Italian Information Retrieval Workshop, IIR 2017 ; Conference date: 05-06-2017 Through 07-06-2017",

}

RIS

TY - GEN

T1 - A game of lines

T2 - 8th Italian Information Retrieval Workshop, IIR 2017

AU - Di Nunzio, Giorgio Maria

AU - Maistro, Maria

AU - Zilio, Daniel

PY - 2017/1/1

Y1 - 2017/1/1

N2 - In this paper, we describe a set of experiments that turn the machine learning classification task into a game, through gamification techniques, and let non expert users to perform text classification without even knowing the problem. The application is implemented in R using the Shiny package for interactive graphics. We present the outcome of three different experiments: A pilot experiment with PhD and post-doc students, and two experiments carried out with primary and secondary school students. The results show that the human aided classifier performs similarly and sometimes even better than state of the art classifiers.

AB - In this paper, we describe a set of experiments that turn the machine learning classification task into a game, through gamification techniques, and let non expert users to perform text classification without even knowing the problem. The application is implemented in R using the Shiny package for interactive graphics. We present the outcome of three different experiments: A pilot experiment with PhD and post-doc students, and two experiments carried out with primary and secondary school students. The results show that the human aided classifier performs similarly and sometimes even better than state of the art classifiers.

UR - http://www.scopus.com/inward/record.url?scp=85029214288&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85029214288

VL - 1911

SP - 40

EP - 47

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

Y2 - 5 June 2017 through 7 June 2017

ER -

ID: 216517325