The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...
In this paper, we propose to study the characteristics for analyzing subjective content in documents. For that purpose, we present and evaluate a novel method based on abstraction...
We present disputant relation-based method for classifying news articles on contentious issues. We observe that the disputants of a contention are an important feature for underst...
—Calligraphic data entry is accelerated by generating, with a feature-based character classifier, an ordered list of reference candidate labels for each character image. The impr...