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Newspapers generally attempt to present the news objectively. But textual affect analysis shows that many words carry positive or negative emotional charge. In this article, we show that coupling niche browsing technology and affect analysis technology allows us to create a new application that measures the slant in opinion given to public figures in the(More)
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model of such processes is developed, and it becomes important to know if such a model is actually being followed by analyzing the available activity logs. In other scenarios, no model is(More)
The detection of attitude and subjectivity in text has received increased attention over the past several years. Whereas standard text classification typically deals with the identification of the topic of a text, it has become clear that attitudes expressed in the text constitute another very useful dimension. With the rapid rise of customer-produced(More)
In addition to factual content, many texts contain an emotional dimension. This emotive, or affect, dimension has not received much attention in computational linguistics until recently. But now that messages (including spam) have become more prevalent than edited texts (such as newswire), recognizing this dimension is becoming more important. One resource(More)
1 The order of the authors is strictly alphabetical. Correspondence can be addressed to any of the authors. Abstract We present Cartesian granule features, a new multi-dimensional feature formed over the cross product of fuzzy partition labels. Traditional fuzzy modelling approaches, mainly use flat features(one dimensional features) and, consequently(More)
Support vector machine (SVM) learning algorithms focus on finding the hyperplane that maximizes the margin (the distance from the separating hyperplane to the nearest examples) since this criterion provides a good upper bound of the generalization error. When applied to text classification, these learning algorithms lead to SVMs with excellent precision but(More)
Today, much of product feedback is provided by customers/critiques online through websites, discussion boards, mailing lists, and blogs. People trying to make strategic decisions (e.g., a product launch, a purchase) will find that a web search will return many useful but heterogeneous and, increasingly, multilingual opinions on a product. Generally, the(More)