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

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

An Author Profiling Approach Based on Language-dependent Content and Stylometric Features

5We describe the approach that we submitted to the 2015 PAN competition for the author profiling task. The task consists in predicting some attributes of an author analyzing a set of his/her Twitter tweets. We consider several sets of stylometric and content features, and different decision algorithms: we use a different combination of features and decision algorithm for each language-attribute pair, hence treating it as an individual problem.openopenBartoli, Alberto; De Lorenzo, Andrea; Laderchi, Alessandra; Medvet, Eric; Tarlao, FabianoBartoli, Alberto; DE LORENZO, Andrea; Laderchi, Alessandra; Medvet, Eric; Tarlao, Fabian