1 citations · 1 across the 2 of their papers we have counts for
6 papers
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani
It is well known that, within the Latin production of written text, peculiar metric schemes were followed not only in poetic compositions, but also in many prose works. Such metric…
QuaPy: A Python-Based Framework for Quantification
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
QuaPy is an open-source framework for performing quantification (a.k.a. supervised prevalence estimation), written in Python. Quantification is the task of training quantifiers via…
Tweet Sentiment Quantification: An Experimental Re-Evaluation
Alejandro Moreo, Fabrizio Sebastiani
Sentiment quantification is the task of training, by means of supervised learning, estimators of the relative frequency (also called ``prevalence'') of sentiment-related classes (s…
Re-Assessing the "Classify and Count" Quantification Method
Alejandro Moreo, Fabrizio Sebastiani
Learning to quantify (a.k.a.\ quantification) is a task concerned with training unbiased estimators of class prevalence via supervised learning. This task originated with the obser…
Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
This paper introduces PyDCI, a new implementation of Distributional Correspondence Indexing (DCI) written in Python. DCI is a transfer learning method for cross-domain and cross-li…
JaTeCS an open-source JAva TExt Categorization System
Andrea Esuli, Tiziano Fagni, Alejandro Moreo Fernandez
JaTeCS is an open source Java library that supports research on automatic text categorization and other related problems, such as ordinal regression and quantification, which are o…