Q. What is the ultimate goal of a concept-level analysis of online social data?

View solution

Q. What is the multidisciplinary approach recommended for analyzing big social data?

View solution

Q. What is the primary challenge posed by the growth of user-generated content on the Web 2.0?

View solution

Q. What is the approximate processing time for the extraction of semantics and sentics when using SQL databases?

View solution

Q. How does the engine ensure fast real-time opinion mining?

View solution

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

View solution

Q. How are concepts categorized in the AffectiveSpace module?

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

Q. What is a key challenge in affect detection?

View solution

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

View solution