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Question

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

a.

It focuses on unimodal recognition modules only.

b.

It deals with temporal issues using multidimensional vector spaces.

c.

It relies on keyword spotting for sentiment analysis.

d.

It uses well-known measures for evaluating performance.

Posted under Big Data Computing

Answer: (b).It deals with temporal issues using multidimensional vector spaces. Explanation:The methodology deals with temporal issues using multidimensional vector spaces, allowing it to fuse multiple recognition modules with different time scales.

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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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