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The majority of approaches to author profiling and author identification focus mainly on lexical features, i.e., on the content of a text. We argue that syntactic dependency and discourse features play a significantly more prominent role than they were given in the past. We show that they achieve state-of-the-art performance in author and gender identification on a literary corpus while keeping...

This is the vignette of the Bioconductor compliant packege stam. We describe our implementation of structured analysis of microarray data for decomposing complex clinical phenotypes in clinical gene expression profiling studies. Corresponding author: [email protected]

Author profiling is the task of determining age, gender, native language or personality type of author by studying their sociolect aspect, that is, how language is shared by people. In this paper, we propose a Machine Learning approach to determine unknown author’s age and gender. The approach uses three types of features: content based, style based and topic based. We were able to achieve an a...

This paper describes our approach to tackle the Author Profiling task at PAN 2015. Our method relies on syntactic features, such as syntactic based n-grams of various types in order to predict the age, gender and personality traits that has the author of a given text. In this paper, we describe the used features, the employed classification algorithm, and other general ideas concerning the expe...

This paper advances an analysis of biometrics and profiling. Biometrics represents the most effective technology in order to prove someone’s identity. Profiling regards the capability of collecting and organizing individuals’ preferences and attitudes as consumers and costumers. Moreover, biometrics is already used in order to gather and manage biological and behavioral data and this tendency m...

This paper describes the methods employed to solve the Author Profiling task at PAN-2015. The main goal was to test the use of features derived from Information Retrieval to identify the personality traits of the author of a given text. This paper describes the features, the classification algorithms employed, and how the experiments were run. Also, I provide a comparative analysis of my result...

We describe the approach that we submitted to the 2015 PAN competition [5] 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-attrib...