TY - JOUR
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
N1 - Publisher Copyright:
© 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.
PY - 2019
Y1 - 2019
N2 - 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 - 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.
UR - http://www.scopus.com/inward/record.url?scp=85070518032&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:85070518032
SN - 1613-0073
VL - 2380
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 20th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2019
Y2 - 9 September 2019 through 12 September 2019
ER -