In many cases, problem sets that are stated over strictly nominal feature sets do not lend themselves well to classification strategies that are based on vector spaces. Please tell me how much you agree or disagree with this statement. If you were doing ML classification on nominal data, which approach would you employ? Please respond to both of the questions posed above with detailed explanations.

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Q: For problem sets that are given over strictly nominal feature sets, classification algorithms based…

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Q: For problem sets that only include nominal features, vector space classification algorithms often…

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Q: Classification techniques based on vector spaces typically perform inadequately when dealing with…

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Q: Can we expect any benefits from using the Vector Space Model (VSM) as opposed to the Latent Semantic…

A: Please find the answer below :

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Q: Investigate the application of Structured English in non-systematic techniques of analysis.

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Q: The problem sets that are given over entirely nominal feature sets are often not excellent…

A: Please find the answer below :

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Requirement Analysis

A process that determines the user expectations for a software product is called requirement analysis. In software engineering, requirement analysis is known as requirement engineering. It involves communication with end-users and stakeholders to determine whether the system or software requirements are validated, conflicts are solved, and key requirements are documented. The first activity of the Software Development Life Cycle (SDLC) is requirement analysis.