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.
An Author Profiling Approach Based on Language-dependent Content and Stylometric Features
BARTOLI, Alberto;DE LORENZO, ANDREA;LADERCHI, ALESSANDRA;MEDVET, Eric;TARLAO, FABIANO
2015-01-01
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.File in questo prodotto:
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