Articolo in rivista, 2017, ENG

Distributional correspondence indexing for cross-lingual and cross-domain sentiment classification

Moreo Fernandez A.; Esuli A.; Sebastiani F.

CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy

Researchers from ISTI-CNR, Pisa (in a joint effort with the Qatar Computing Research Institute), have developed a transfer learning method that allows cross-domain and cross-lingual sentiment classification to be performed accurately and efficiently. This means sentiment classification efforts can leverage training data originally developed for performing sentiment classification on other domains and/or in other languages.

ERCIM news 111 , pp. 48–48

Keywords

Sentiment classification

CNR authors

Moreo Fernandez Alejandro, Esuli Andrea, Sebastiani Fabrizio

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"