In this paper, we introduce Profiling–UD, a new text analysis tool inspired to the principles of
linguistic profiling that can support language variation research from different perspectives. It …

Texts are composed for multiple audiences and for numerous purposes. Each form of text
follows a set of guidelines and structure to serve the purpose of writing. A common way of …

Purpose The authors' goal is to investigate variations in the writing style of book reviews
published on different social reading platforms and referring to books of different genres …

In this paper we present an NLP-based approach for tracking the evolution of written
language competence in L2 Spanish learners using a wide range of linguistic features …

This article considers the rhythm of texts of various genres: fiction novels, advertising,
scientific articles, reviews, tweets and political articles. The authors identify such lexical and …

We present a data-driven approach to discover and extract patterns in textual genres with
the aim of identifying whether there is an interesting variation of linguistic features among …

In this paper we introduce a classification system devoted to predict the helpfulness of Italian
online reviews. It is based on a wide set of features reflecting the different factors involved …

We present a text classifier that can distinguish Italian news stories from editorials. Inspired
by earlier work on English, we built a suitable train/test corpus and implemented a range of …

This thesis work adresses text classi cation in relation to genre identi cation using di erent
feature sets, with a focus on syntactic based features. We built our models by means of …

We present a data-driven approach to discover and extract patterns in textual genres with
the aim of identifying whether there is an interesting variation of linguistic features among …