The IEEE Transactions on Affective Computing (TAC) is intended to be a cross disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena.
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By Janyce Wiebe, Ellen Riloff
“Subjectivity analysis” systems automatically identify and extract information relating to attitudes, opinions, and sentiments from text. As more and more people make their opinions available on the Internet and as people increasingly consult the Internet to ascertain other people's opinions about products, political issues, and so on, the demand for effective subjectivity analysis systems continues to grow. Information extraction systems, which automatically identify and extract factual information relating to events of interest, remain critically important in this day and age of increasingly vast amounts of text available online. In this work, we discover that these research areas are mutually beneficial.
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TAC is a joint publication of the:
Published in cooperation with: IEEE Robotics and Automation Society, IEEE Signal Processing Society, IEEE Society on Social Implications of Technology, IEEE Consumer Electronics Society, IEEE Circuits and Systems Society