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

Type:

Conf

Authors:

Alberto Bartoli, Andrea De Lorenzo, Alessandra Laderchi, Eric Medvet, Fabiano Tarlao

In:

6th Uncovering Plagiarism, Authorship and Social Softare Misuse at Conference and Labs of the Evaluation Forum (PAN-CLEF), held in Toulouse (France)

Year:

2015

Links and material:

Google Scholar
Full text

Abstract # ↰

We 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.