On Authorship Attribution

Authorship attribution is the process of identifying the author of a given text and from the machine learning perspective, it can be seen as a classification problem. In the literature, there are a lot of classification methods for which feature extraction techniques are conducted. In this thesis, we explore information retrieval techniques such as Doc2Vec and other useful feature selection and extraction techniques for a given text with different classifiers. The main purpose of this work is to lay the foundations of feature extraction techniques in authorship attribution. At the end of this work, we show how we compared our results with related works and how we managed to improve, to the best of our knowledge, the results on a particular dataset, very known in this field.