2014 SentimentExpressionConditionedb

• (Sudhof et al., 2014) ⇒ Moritz Sudhof, Andrés Goméz Emilsson, Andrew L. Maas, and Christopher Potts. (2014). “Sentiment Expression Conditioned by Affective Transitions and Social Forces.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623687

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222014%22+Sentiment+Expression+Conditioned+by+Affective+Transitions+and+Social+Forces
• http://dl.acm.org/citation.cfm?id=2623330.2623687&preflayout=flat#citedby

Quotes

Author Keywords

• Discourse; multidimensional sentiment analysis; sentiment as social; sentiment transitions; text analysis

Abstract

Human emotional states are not independent but rather proceed along systematic paths governed by both internal, cognitive factors and external, social ones. For example, anxiety often transitions to disappointment, which is likely to sink to depression before rising to happiness and relaxation, and these states are conditioned by the states of others in our communities. Modeling these complex dependencies can yield insights into human emotion and support more powerful sentiment technologies.

We develop a theory of conditional dependencies between emotional states in which emotions are characterized not only by valence (polarity) and arousal (intensity) but also by the role they play in state transitions and social relationships. We implement this theory using conditional random fields (CRFs) that synthesize textual information with information about previous emotional states and the emotional states of others. To assess the power of affective transitions, we evaluate our model in a collection of ' mood' updates from the Experience Project. To assess the power of social factors, we use a corpus of product reviews from a website in which the community dynamics encourage reviewers to be influenced by each other. In both settings, our models yield improvements of statistical and practical significance over ones that classify each text independently of its emotional or social context.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2014 SentimentExpressionConditionedb	Christopher Potts Moritz Sudhof Andrés Goméz Emilsson Andrew L. Maas			Sentiment Expression Conditioned by Affective Transitions and Social Forces				10.1145/2623330.2623687		2014