A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining

no code implementations • EMNLP 2015 • Salud M. Jim{\'e}nez Zafra, Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, Mar{\'\i}a Teresa Mart{\'\i}n-Valdivia, Alej Moreo Fern{\'a}ndez, ro

Opinion Mining Sentiment Analysis

Utility-Theoretic Ranking for Semi-Automated Text Classification

no code implementations • 2 Mar 2015 • Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani

\emph{Semi-Automated Text Classification} (SATC) may be defined as the task of ranking a set $\mathcal{D}$ of automatically labelled textual documents in such a way that, if a human annotator validates (i. e., inspects and corrects where appropriate) the documents in a top-ranked portion of $\mathcal{D}$ with the goal of increasing the overall labelling accuracy of $\mathcal{D}$, the expected increase is maximized.

General Classification text-classification +1