adplus-dvertising
frame-decoration

Question

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

a.

Assigns synonyms and antonyms to them

b.

Projects them into AffectiveSpace

c.

Calculates their relative frequency

d.

Stores them in an SQL database

Posted under Big Data Computing

Answer: (b).Projects them into AffectiveSpace Explanation:The AffectiveSpace module projects the concepts from each SBoC into AffectiveSpace.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

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

Similar Questions

Discover Related MCQs

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

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

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

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

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

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

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

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

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

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

Q. What is a key challenge in affect detection?

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

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

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

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

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

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

Q. What is the importance of identifying temporal relations between events in sentiment analysis?

Q. What is the primary goal of big sentiment data tracking?

Q. What is the intuition behind using intermediate concepts in domain adaptation?