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Natural Language Processing (NLP) Multiple Choice Questions (MCQ) Online Test #8

Natural Language Processing (NLP) MCQ #71:

Which type of question answering system retrieves information directly from documents?

About Natural Language Processing (NLP) Multiple Choice Question (MCQ) #71:
This ICT Multiple Choice Question (ICT MCQ) #71 focuses on Natural Language Processing (NLP) within the "Advanced ICT MCQ" category. This question tests the knowledge of different types of question answering systems.
Natural Language Processing (NLP) MCQ #72:

Which algorithm is commonly used for dependency parsing?

About Natural Language Processing (NLP) Multiple Choice Question (MCQ) #72:
This ICT Multiple Choice Question (ICT MCQ) #72 focuses on Natural Language Processing (NLP) within the "Advanced ICT MCQ" category. This question examines knowledge of algorithms used for dependency parsing.
Natural Language Processing (NLP) MCQ #73:

How can NLP help in detecting fraudulent activities in financial transactions?

About Natural Language Processing (NLP) Multiple Choice Question (MCQ) #73:
This ICT Multiple Choice Question (ICT MCQ) #73 focuses on Natural Language Processing (NLP) within the "Advanced ICT MCQ" category. This question focuses on how NLP can be used to detect fraud in financial transactions.
Natural Language Processing (NLP) MCQ #74:

What is a common ethical issue with NLP models in general?

About Natural Language Processing (NLP) Multiple Choice Question (MCQ) #74:
This ICT Multiple Choice Question (ICT MCQ) #74 focuses on Natural Language Processing (NLP) within the "Advanced ICT MCQ" category. This question evaluates awareness of common ethical issues with NLP models.
Natural Language Processing (NLP) MCQ #75:

Which legal principle is important for NLP applications handling personal data?

About Natural Language Processing (NLP) Multiple Choice Question (MCQ) #75:
This ICT Multiple Choice Question (ICT MCQ) #75 focuses on Natural Language Processing (NLP) within the "Advanced ICT MCQ" category. This question focuses on legal principles relevant to handling personal data in NLP applications.
Natural Language Processing (NLP) MCQ #76:

What technique is commonly used in NLP for sentiment analysis?

About Natural Language Processing (NLP) Multiple Choice Question (MCQ) #76:
This ICT Multiple Choice Question (ICT MCQ) #76 focuses on Natural Language Processing (NLP) within the "Advanced ICT MCQ" category. This question focuses on techniques used for sentiment analysis in NLP.
Natural Language Processing (NLP) MCQ #77:

What is a common technique used in NLP for semantic analysis?

About Natural Language Processing (NLP) Multiple Choice Question (MCQ) #77:
This ICT Multiple Choice Question (ICT MCQ) #77 focuses on Natural Language Processing (NLP) within the "Advanced ICT MCQ" category. This question focuses on techniques used in NLP for semantic analysis.
Natural Language Processing (NLP) MCQ #78:

Why is text normalization important in NLP?

About Natural Language Processing (NLP) Multiple Choice Question (MCQ) #78:
This ICT Multiple Choice Question (ICT MCQ) #78 focuses on Natural Language Processing (NLP) within the "Advanced ICT MCQ" category. This question assesses the importance of text normalization in NLP.
Natural Language Processing (NLP) MCQ #79:

In NER, what type of entity is "Google" classified as?

About Natural Language Processing (NLP) Multiple Choice Question (MCQ) #79:
This ICT Multiple Choice Question (ICT MCQ) #79 focuses on Natural Language Processing (NLP) within the "Advanced ICT MCQ" category. This question focuses on the classification of entities in NER.
Natural Language Processing (NLP) MCQ #80:

What is the main difference between LDA and LSA in topic modeling?

About Natural Language Processing (NLP) Multiple Choice Question (MCQ) #80:
This ICT Multiple Choice Question (ICT MCQ) #80 focuses on Natural Language Processing (NLP) within the "Advanced ICT MCQ" category. This question examines the difference between LDA and LSA in topic modeling.
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  • This online test, titled "Natural Language Processing (NLP) Multiple Choice Questions (MCQ) Online Test #8" is designed for individuals at the advanced level and focuses on "Natural Language Processing (NLP)". It consists of 10 carefully crafted multiple choice questions (MCQs) with five options each that assess advanced knowledge and understanding of the subject matter. This test aims to help participants evaluate their grasp of key concepts related to "Natural Language Processing (NLP)".
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