In this article, we address the problem of age identification of Twitter users, after their online text. We used a set of text mining, sociolinguistic-based and content-related text features, and we evaluated a number of well-known and widely used machine learning algorithms for classification, in order to examine their appropriateness on this task. The experimental results showed that Random F...

This letter studies the informativity problem for reachability and null-controllability of constrained systems. To be precise, we will focus on an unknown linear systems with convex conic constraints from which measure data consisting exact state trajectories finite length. We are interested in performing system analysis such basis measured data. However, measurements it is only possible to obt...

Multi-Sentence Compression (MSC) is the task of generating a short single sentence summary from a cluster of related sentences. This paper presents an N-best reranking method based on keyphrase extraction. Compression candidates generated by a word graph-based MSC approach are reranked according to the number and relevance of keyphrases they contain. Both manual and automatic evaluations were p...

In this article, the classical algebraic regulator problem is studied in a data-driven context. The endosystem assumed to be an unknown system that interconnected known exosystem generates disturbances and reference signals. design so output of (unknown) tracks signal, regardless its initial state incoming disturbances. order do this, we assume have set input-state data on finite time-interval....

In this paper, we deal with the issue of variability in different measures of linguistic acceptability. It has been argued that acceptability, when measured with the magnitude estimation method (ME), reveals the underlying gradience of linguistic judgments, while other measures, like Likert-scale judgments (e.g. on a 7-point scale) do not provide the same amount of information about the gradien...