[PDF][PDF] Author Profiling with Word+ Character Neural Attention Network.
Y Miura, T Taniguchi, M Taniguchi, T Ohkuma - CLEF (Working notes), 2017 - ceur-ws.org
This paper describes neural network models that we prepared for the author profiling task of
PAN@ CLEF 2017. In previous PAN series, statistical models using a machine learning …
PAN@ CLEF 2017. In previous PAN series, statistical models using a machine learning …
[PDF][PDF] Language Variety and Gender Classification for Author Profiling in PAN 2017.
A Ogaltsov, A Romanov - CLEF (Working notes), 2017 - ceur-ws.org
We describe the method of Author Profiling task. The task deals with study of profile aspects
like gender and language variety. We explore an approach of using high-order char n-grams …
like gender and language variety. We explore an approach of using high-order char n-grams …
Multi-language neural network model with advance preprocessor for gender classification over social media
This paper describes approaches for the Author Profiling Shared Task at PAN 2018. The
goal was to classify the gender of a Twitter user solely by their tweets. Paper explores a …
goal was to classify the gender of a Twitter user solely by their tweets. Paper explores a …
Altersbestimmung zur Charakterisierung von Blog-Autoren im Kontext der digitalen forensischen Kommunikationsanalyse
M Starke - 2024 - monami.hs-mittweida.de
Die stetig ansteigende Internetnutzung hat zur Folge, dass auch ein großer Teil der
Kommunikation digital passiert. Durch die Möglichkeit der Anonymität ist es gerade für …
Kommunikation digital passiert. Durch die Möglichkeit der Anonymität ist es gerade für …
[PDF][PDF] Cross genre author profilling using syntactic N-Grams
I Ameer - tesis.ipn.mx
The process of automatic identification of an author's demographic traits like gender, age,
native language, geographical location, personality type and others from his/her written text …
native language, geographical location, personality type and others from his/her written text …