Chat mining for gender prediction

Tayfun Kucukyilmaz; B. Barla Cambazoglu; Cevdet Aykanat; Fazli Can

doi:10.1007/11890393_29

Chat mining for gender prediction

Tayfun Kucukyilmaz^*, B. Barla Cambazoglu, Cevdet Aykanat, Fazli Can

^*Corresponding author for this work

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

48 Citations (Scopus)

Abstract

The aim of this paper is to investigate the feasibility of predicting the gender of a text document's author using linguistic evidence. For this purpose, term- and style-based classification techniques are evaluated over a large collection of chat messages. Prediction accuracies up to 84.2% are achieved, illustrating the applicability of these techniques to gender prediction. Moreover, the reverse problem is exploited, and the effect of gender on the writing style is discussed.

Original language	English
Title of host publication	Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings
Pages	274-283
Number of pages	10
DOIs	https://doi.org/10.1007/11890393_29
Publication status	Published - 2006
Externally published	Yes
Event	4th International Conference on Advances in Information Systems, ADVIS 2006 - Izmir, Turkey Duration: 18 Oct 2006 → 20 Oct 2006

Publication series

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4243 LNCS
ISSN	0302-9743

Conference

Conference	4th International Conference on Advances in Information Systems, ADVIS 2006
Country/Territory	Turkey
City	Izmir
Period	18/10/06 → 20/10/06

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10.1007/11890393_29

Cite this

Kucukyilmaz, T., Cambazoglu, B. B., Aykanat, C., & Can, F. (2006). Chat mining for gender prediction. In Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings (pp. 274-283). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4243 LNCS https://doi.org/10.1007/11890393_29

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title = "Chat mining for gender prediction",

abstract = "The aim of this paper is to investigate the feasibility of predicting the gender of a text document's author using linguistic evidence. For this purpose, term- and style-based classification techniques are evaluated over a large collection of chat messages. Prediction accuracies up to 84.2% are achieved, illustrating the applicability of these techniques to gender prediction. Moreover, the reverse problem is exploited, and the effect of gender on the writing style is discussed.",

author = "Tayfun Kucukyilmaz and Cambazoglu, {B. Barla} and Cevdet Aykanat and Fazli Can",

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Kucukyilmaz, T, Cambazoglu, BB, Aykanat, C & Can, F 2006, Chat mining for gender prediction. in Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4243 LNCS, pp. 274-283, 4th International Conference on Advances in Information Systems, ADVIS 2006, Izmir, Turkey, 18/10/06. https://doi.org/10.1007/11890393_29

Chat mining for gender prediction. / Kucukyilmaz, Tayfun; Cambazoglu, B. Barla; Aykanat, Cevdet et al.

Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings. 2006. p. 274-283 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4243 LNCS).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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AB - The aim of this paper is to investigate the feasibility of predicting the gender of a text document's author using linguistic evidence. For this purpose, term- and style-based classification techniques are evaluated over a large collection of chat messages. Prediction accuracies up to 84.2% are achieved, illustrating the applicability of these techniques to gender prediction. Moreover, the reverse problem is exploited, and the effect of gender on the writing style is discussed.

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Kucukyilmaz T, Cambazoglu BB, Aykanat C, Can F. Chat mining for gender prediction. In Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings. 2006. p. 274-283. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4243 LNCS). doi: 10.1007/11890393_29

Chat mining for gender prediction

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