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.
Titolo: | An Author Profiling Approach Based on Language-dependent Content and Stylometric Features |
Autori: | |
Data di pubblicazione: | 2015 |
Serie: | |
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. |
Handle: | http://hdl.handle.net/11368/2846876 |
URL: | http://ceur-ws.org/Vol-1391/ |
Appare nelle tipologie: | 4.1 Contributo in Atti Convegno (Proceeding) |
File in questo prodotto:
File | Descrizione | Tipologia | Licenza | |
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106-CR.pdf | pdf editoriale | Bozza finale post-referaggio (post-print) | Digital Rights Management non definito | Open Access Visualizza/Apri |
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