Exploring Attitude and Affect in Text: Theories and Applications
Papers from the AAAI Spring Symposium
Yan Qu, James Shanahan, and Janyce Wiebe, Cochairs
Human language technology systems have typically focused on the factual aspect of content analysis. Other aspects, including pragmatics, point of view, and style, have received much less attention. However, to achieve an adequate understanding of a text, these aspects cannot be ignored. In this symposium, we address computer-based analysis of point of view. Our goal is to bring together people from academia, government, and industry to explore annotation, modeling, mining, and classification of opinion, subjectivity, attitude, and affect in text, across a range of text management applications. The symposium therefore addresses a rather wide range of issues, from theoretical questions and models, through annotation standards and methods, to algorithms for recognizing, clustering, characterizing, and displaying attitudes and affect in text. Despite growing interest in this area, with papers recently published in major conferences and new corpora developed, there has never been a workshop or symposium that targets a wide audience of researchers and practitioners on these topics.