This paper presents our text mining classification framework, that we implemented and evaluated using aviation datasets. Our contribution through the proposed framework and the algorithms is to create predictive models to predict the category labels for a given text input with high...

Relative to quantitative methods traditionally used in accounting and finance, textual analysis is substantially less precise. Thus, understanding the art is of equal importance to understanding the science. In this survey we describe the nuances of the method and, as users of textual analysis,...

Web 2.0 provides gathering places for Internet users in blogs, forums, and chat rooms. These gathering places leave footprints in the form of colossal amounts of data regarding consumers' thoughts, beliefs, experiences, and even interactions. In this paper, we propose an approach for firms to...