Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts

Helena Gómez-Adorno, Ilia Markov, Grigori Sidorov, Juan Pablo Posadas-Durán, Miguel A. Sanchez-Perez, Liliana Chanona-Hernandez

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

35 Citas (Scopus)

Resumen

We introduce a lexical resource for preprocessing social media data. We show that a neural network-based feature representation is enhanced by using this resource. We conducted experiments on the PAN 2015 and PAN 2016 author profiling corpora and obtained better results when performing the data preprocessing using the developed lexical resource. The resource includes dictionaries of slang words, contractions, abbreviations, and emoticons commonly used in social media. Each of the dictionaries was built for the English, Spanish, Dutch, and Italian languages. The resource is freely available.

Idioma originalInglés
Número de artículo1638936
PublicaciónComputational Intelligence and Neuroscience
Volumen2016
DOI
EstadoPublicada - 2016

Huella

Profundice en los temas de investigación de 'Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts'. En conjunto forman una huella única.

Citar esto