This volume maps the watershed areas between two 'holy grails'
of computer science: the identification and interpretation of
"affect "- including sentiment and mood. The expression of
sentiment and mood involves the use of metaphors, especially in
emotive situations. Affect computing is rooted in hermeneutics,
philosophy, political science and sociology, and is now a key area
of research in computer science. The 24/7 news sites and blogs
facilitate the expression and shaping of opinion locally and
globally. Sentiment analysis, based on text and data mining, is
being used in the looking at news and blogs for purposes as diverse
as: brand management, film reviews, financial market analysis and
prediction, homeland security. There are systems that learn how
sentiments are articulated.
This work draws on, and informs, research in fields as varied as
artificial intelligence, especially reasoning and machine learning,
corpus-based information extraction, linguistics, and psychology.
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