Multimedia Concepts and Applications Multimedia Concepts and Applications Differentiated Semantic...
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Multimedia Concepts and Applications Multimedia Concepts and Applications Differentiated Semantic Analysis in Lexical Affect Sensing Alexander Osherenko, Elisabeth André University of Augsburg
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Multimedia Concepts and Applications
Multimedia Concepts and Applications
Differentiated Semantic Analysis in Lexical Affect Sensing
Alexander Osherenko, Elisabeth AndréUniversity of Augsburg
Multimedia Concepts and Applications
Multimedia Concepts and ApplicationsExamples
• What is the emotional meaning (I am very happy vs. I am happy)?
• What is the emotional meaning (I am very sad even if everybody is happy!)?
Multimedia Concepts and Applications
Multimedia Concepts and ApplicationsResearch questions
• Differentiated analysis• Significant elements
Multimedia Concepts and Applications
Multimedia Concepts and ApplicationsDifferentiated linking
• Rules that consider affective and grammatical information• Different granularities of analysis, e.g. majority• Different strategies of analysis, e.g. first phrase
Multimedia Concepts and Applications
Multimedia Concepts and ApplicationsInformation sources
• Affective sources– Emotion words (GI, WordNet-Affect, Levin)– Movie glossary
• Grammatical sources– Means from linguistic literature (negations,
intensifiers, superordinate/subordinate clauses)– Means from own corpus studies
(interdependencies)
Multimedia Concepts and Applications
Multimedia Concepts and ApplicationsCorpora
• FWF (759 sentences - 3 classes)– Statistical: 37.2%
• BMRC-S (1010 sentences - 3-, 5-classes)– Statistical: 52.34% - 3 classes; 30.81% - 5 classes
Multimedia Concepts and Applications
Multimedia Concepts and ApplicationsSystem
• Relies on deep parsing in the Stanford parser and matching in the SPIN parser
• 4,527 rules for emotion words• 74 rules for primitive grammatical elements• 154 empirical grammatical rules
Multimedia Concepts and Applications
Multimedia Concepts and ApplicationsResults
• 47.64% classwise recall value (FWF) – 37.2% statistical
• 54.65% classwise recall value (3-classes BMRC-S) or 32.79% classwise recall value (5-classes BMRC-S) - 52.34% vs. 30.81% statistical
Multimedia Concepts and Applications
Multimedia Concepts and ApplicationsDiscussion
• Semantic vs. statistical• Majority, First phrase
Multimedia Concepts and Applications
Multimedia Concepts and ApplicationsFuture work
• Generalization• Emotional phrases/idioms• Quantifiers (Few people were happy, Many
people were happy)• Context (dynamically changing)
