C4.5: programs for machine learning
C4.5: programs for machine learning
The nature of statistical learning theory
The nature of statistical learning theory
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Machine Learning
Machine Learning
An empirical study of sentiment analysis for chinese documents
Expert Systems with Applications: An International Journal
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Sentiment analysis of Chinese documents: From sentence to document level
Journal of the American Society for Information Science and Technology
Combining supervised and unsupervised polarity classification for non-english reviews
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Sentiment polarity detection in Spanish reviews combining supervised and unsupervised approaches
Expert Systems with Applications: An International Journal
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Sentiment analysis is a new challenging task related to Text Mining and Natural Language Processing. Although there are some current works, most of them only focus on English texts. Web pages, information and opinions on the Internet are increasing every day, and English is not the only language used to write them. Other languages like Spanish are increasingly present so we have carried out some experiments over a Spanish film reviews corpus. In this paper we present several experiments using five classification algorithms (SVM, Nave Bayes, BBR, KNN, C4.5). The results obtained are very promising and encourage us to continue investigating in this line.