Q. What is the affective information used for in the sentic extraction process?

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Q. How are concepts categorized in the AffectiveSpace module?

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Q. What does the AffectiveSpace module do with the concepts from each SBoC?

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Q. How is the classification measure of concepts in the SBoC determined?

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Q. What is the role of seeds in the IsaCore module?

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Q. How is coarse sense disambiguation performed when multiple senses of a concept are detected?

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Q. What is the purpose of the IsaCore and AffectiveSpace modules in analyzing the small bag of concepts (SBoC)?

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Q. What does the Sentic parser provide for each retrieved concept?

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Q. How does the sentic parser efficiently choose the best construction for each span of text?

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Q. What is the role of constructions in the parsing process of the sentic parser?

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Q. Why is handling negation important in opinion- and sentiment-related analysis?

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Q. What is the primary purpose of the preprocessing module in the opinion-mining engine?

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Q. How does the opinion-mining engine in sentic computing classify affective information?

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Q. What is a key challenge in affect detection?

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Q. Why is affect detection considered critical in the context of affect-sensitive interfaces?

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Q. What is one of the limitations of standard approaches to opinion mining?

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Q. What were the seven sentiment dimensions chosen by Godbole et al. for sentiment analysis in their system?

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Q. What approach did Godbole et al. use for large-scale sentiment analysis of news and blogs?

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Q. Which technique is used to control the ensemble stream in real time in Cambria et al.'s methodology?

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Q. What is the primary benefit of Cambria et al.'s scalable methodology for fusing multiple cognitive and affective recognition modules in real time?

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