Analyzing Appraisal Automatically
Maite Taboada, Jack Grieve · 2004
We present a method for classifying texts automatically, based on their subjective content. We apply a standard method for calculating semantic orientation (Turney 2002), and expand it by giving more prominence to certain parts of the text, where we believe most subjective content is concentrated. We also apply a linguistic classification of Appraisal and find that it could be helpful in distinguishing different types of subjective texts (e.g., movie reviews from consumer product reviews). Classifying Sentiment The task of classifying texts based on their subjective content, or sentiment, is considered to be difficult to implement computationally. There is, however, a growing body of research both in computational and theoretical linguistics that