KU-CST at the Profiling Fake News spreaders Shared Task---Notebook for PAN at CLEF 2020

Manex Aguirrezabal Zabaleta

KU-CST at the Profiling Fake News spreaders Shared Task---Notebook for PAN at CLEF 2020

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

13 Downloads (Pure)

Abstract

In this document we present our approach for profiling fake news spreaders. The model relies on semantic features, part-of-speech tag related features and other simple features. We have reached an accuracy of 0.697 and 0.810 for English and Spanish, respectively, on validation data. Test accuracies using these same models reach 0.690 and 0.725 for English and Spanish data. We believe that this is a simple and robust model that could potentially be used as a baseline for this task.

Originalsprog	Engelsk
Titel	CLEF 2020 Labs and Workshops, Notebook Papers : CEUR-WS.org
Antal sider	5
Forlag	CEUR-WS.org
Publikationsdato	2020
Status	Udgivet - 2020

Adgang til dokumentet

agirrezabal_2020Forlagets udgivne version, 140 KBLicens: CC BY

https://pan.webis.de/downloads/publications/papers/agirrezabal_2020.pdfLicens: CC BY

Citationsformater

@inproceedings{192320cc984d4ec0806c61afba08109e,

title = "KU-CST at the Profiling Fake News spreaders Shared Task---Notebook for PAN at CLEF 2020",

abstract = "In this document we present our approach for profiling fake news spreaders. The model relies on semantic features, part-of-speech tag related features and other simple features. We have reached an accuracy of 0.697 and 0.810 for English and Spanish, respectively, on validation data. Test accuracies using these same models reach 0.690 and 0.725 for English and Spanish data. We believe that this is a simple and robust model that could potentially be used as a baseline for this task.",

author = "{Aguirrezabal Zabaleta}, Manex",

year = "2020",

language = "English",

booktitle = "CLEF 2020 Labs and Workshops, Notebook Papers",

publisher = "CEUR-WS.org",

}

TY - GEN

T1 - KU-CST at the Profiling Fake News spreaders Shared Task---Notebook for PAN at CLEF 2020

AU - Aguirrezabal Zabaleta, Manex

PY - 2020

Y1 - 2020

N2 - In this document we present our approach for profiling fake news spreaders. The model relies on semantic features, part-of-speech tag related features and other simple features. We have reached an accuracy of 0.697 and 0.810 for English and Spanish, respectively, on validation data. Test accuracies using these same models reach 0.690 and 0.725 for English and Spanish data. We believe that this is a simple and robust model that could potentially be used as a baseline for this task.

AB - In this document we present our approach for profiling fake news spreaders. The model relies on semantic features, part-of-speech tag related features and other simple features. We have reached an accuracy of 0.697 and 0.810 for English and Spanish, respectively, on validation data. Test accuracies using these same models reach 0.690 and 0.725 for English and Spanish data. We believe that this is a simple and robust model that could potentially be used as a baseline for this task.

M3 - Article in proceedings

BT - CLEF 2020 Labs and Workshops, Notebook Papers

PB - CEUR-WS.org

ER -