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SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis
[SenticNet is a publicly available resource for opinion mining that exploits AI, linguistics, and psychology to infer the polarity associated with commonsense concepts and encode this in a semantic-aware representation. In particular, SenticNet uses dimensionality reduction to calculate the affective valence of multi-word expressions and, hence, represent it in a machine-accessible and machine-processable format. This chapter presents an overview of the most recent sentic computing tools and techniques, with particular focus on applications in the context of big social data analysis.]
Published: Apr 12, 2017
Keywords: SenticNet; Sentic computing; Concept-level sentiment analysis; Big social data analysis
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