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Which algorithm is commonly used for sentiment analysis in NLP?

Which algorithm is commonly used for sentiment analysis in NLP? a) K-means b) Naive Bayes c) Apriori d) Quick Sort Answer: b) Naive Bayes Explanation: Naive Bayes is a popular algorithm for sentiment analysis because it is simple and effective for text classification tasks. Reference: Natural Language Processing (NLP) Quiz – MCQ Questions and Answers

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What is tokenization in NLP?

What is tokenization in NLP? a) Dividing text into paragraphs b) Dividing text into words or sentences c) Translating text into another language d) Generating text summaries Answer: b) Dividing text into words or sentences Explanation: Tokenization is the process of splitting text into individual tokens, which can be words or sentences, to facilitate further

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What does Bard primarily rely on to generate text responses?

What does Bard primarily rely on to generate text responses? a) Predefined templates b) Machine learning and AI models c) Manual scripting d) Web scraping Answer: b) Machine learning and AI models Explanation: Bard generates responses using advanced machine learning and AI models, such as PaLM, to understand and create text based on input. Reference:

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In what way is Google Bard most commonly used?

In what way is Google Bard most commonly used? a) Generating human-like text for conversations b) Performing online searches c) Compiling reports d) Analyzing data Answer: a) Generating human-like text for conversations Explanation: Google Bard is primarily used for generating conversational text, answering questions, and providing engaging dialogue. Reference: Google Bard Quiz – MCQ Questions

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