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IRCDL
2008

A New Machine Learning Based Approach for Sentiment Classification of Italian documents

8 years 8 months ago
A New Machine Learning Based Approach for Sentiment Classification of Italian documents
Several sites allow users to publish personal reviews about products and services available on the market. In this paper, we consider the problem of applying classification techniques to identify, in terms of positive or negative degree, the overall opinion polarity expressed in these documents, written in natural language. In particular, we are interested in evaluating the performance obtained by applying machine learning techniques, based on n-gram selection and originally developed for English, to documents written in Italian. In order to obtain results comparable to those presented in the literature for English, we use the same evaluation procedure applied in the majority of the works in this field. We have developed a specific framework for experimentation in Italian. The research is ongoing and we present some preliminary results, a comparison with results presented in literature and an overview of our future work.
Paolo Casoto, Antonina Dattolo, Paolo Omero, Nirma
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where IRCDL
Authors Paolo Casoto, Antonina Dattolo, Paolo Omero, Nirmala Pudota, Carlo Tasso
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