7 papers
Multi-Label Quantification
Alejandro Moreo, Manuel Francisco, Fabrizio Sebastiani
Quantification, variously called "supervised prevalence estimation" or "learning to quantify", is the supervised learning task of generating predictors of the relative frequencies…
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…
SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sara Rosenthal, Preslav Nakov, Alan Ritter +1
We describe the Sentiment Analysis in Twitter task, ran as part of SemEval-2014. It is a continuation of the last year's task that ran successfully as part of SemEval-2013. As in 2…