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Estimating the sentiment of social media content for security informatics applications

✍ Scribed by Kristin Glass; Richard Colbaugh


Book ID
115028164
Publisher
Springer-Verlag
Year
2012
Tongue
English
Weight
715 KB
Volume
1
Category
Article
ISSN
2190-8532

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Microblog content poses serious challenges to the applicability of traditional sentiment analysis and classification methods, due to its inherent characteristics. To tackle them, we introduce a method that relies on two orthogonal, but complementary sources of evidence: content-based features captur