KU-CST at the Profiling Fake News spreaders Shared Task---Notebook for PAN at CLEF 2020
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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KU-CST at the Profiling Fake News spreaders Shared Task---Notebook for PAN at CLEF 2020. / Aguirrezabal Zabaleta, Manex.
CLEF 2020 Labs and Workshops, Notebook Papers: CEUR-WS.org. CEUR-WS.org, 2020.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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 -
ID: 248898923