Experiments with SVM to classify opinions in different domains

• Published in: Expert systems with applications Vol. 38; no. 12; pp. 14799 - 14804
• Main Authors: Rushdi Saleh, M., Martín-Valdivia, M.T., Montejo-Ráez, A., Ureña-López, L.A.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-11-2011
• Subjects: Classification; Corpora; Expert systems; Feasibility; Machine learning; Mining; News; Opinion mining; Receiving; Support vector machines; SVM; Tasks; Corpora; Opinion mining; SVM; Machine learning
• ISSN: 0957-4174; 1873-6793
• DOI: 10.1016/j.eswa.2011.05.070

► A opinion mining corpus has been built for research purposes. ► Several experiments are carried out using SVM. ► Different weighting models, n-gram schemes and domains have been tested.
Recently, opinion mining is receiving more attention due to the abundance of forums, blogs, e-commerce web sites, news reports and additional web sources where people tend to express their opinions. Opinion mining is the task of identifying whether the opinion expressed in a document is positive or negative about a given topic. In this paper we explore this new research area applying Support Vector Machines (SVM) for testing different domains of data sets and using several weighting schemes. We have accomplished experiments with different features on three corpora. Two of them have already been used in several works. The last one has been built from Amazon.com specifically for this paper in order to prove the feasibility of the SVM for different domains.