TY - CONF
T1 - Bots and gender profiling using character bigrams notebook for PAN at CLEF 2019
AU - Espinosa, Daniel Yacob
AU - Gómez-Adorno, Helena
AU - Sidorov, Grigori
PY - 2019/1/1
Y1 - 2019/1/1
N2 - © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CLEF 2019, 9-12 September 2019, Lugano, Switzerland. This paper describes our approach to tackle the Author Profiling task at PAN 2019. The objective is to distinguish between bot and human users and for human users it is also necessary to detect their gender. We are given only Twitter messages in two languages (Spanish and English). Our preprocessing stage includes data cleaning as well as the extraction of features using character bi-grams. We experimented with several feature representations and machine learning algorithms (Support Vector Machines (SVM) from libSVM). For both languages we use the same methods of feature extraction and classification.
AB - © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CLEF 2019, 9-12 September 2019, Lugano, Switzerland. This paper describes our approach to tackle the Author Profiling task at PAN 2019. The objective is to distinguish between bot and human users and for human users it is also necessary to detect their gender. We are given only Twitter messages in two languages (Spanish and English). Our preprocessing stage includes data cleaning as well as the extraction of features using character bi-grams. We experimented with several feature representations and machine learning algorithms (Support Vector Machines (SVM) from libSVM). For both languages we use the same methods of feature extraction and classification.
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M3 - Paper
T2 - CEUR Workshop Proceedings
Y2 - 1 January 2019
ER -