Introduction to Natural Language Processing

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Questions and Answers

What does the acronym NLP stand for?

  • Natural Language Processing (correct)
  • Neural Linguistic Programming
  • Novel Language Processing
  • New Language Protocol

Which of the following is a core task of NLP?

  • Understanding and interpreting human language (correct)
  • Designing computer hardware
  • Generating random numbers
  • Converting images to text

What is sentiment analysis used for?

  • Measuring the length of sentences
  • Determining the emotional tone of text (correct)
  • Translating languages
  • Identifying nouns and verbs

Which of the following is an example of a practical application of NLP?

<p>Speech recognition (D)</p>
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What is tokenization in NLP?

<p>Splitting text into individual words or units (C)</p>
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What is the purpose of text summarization in NLP?

<p>To create a shorter version of the text while retaining key information (C)</p>
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What is the role of machine translation in NLP?

<p>Translating text from one language to another. (A)</p>
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Which of the following is a typical application of chatbot technology using NLP?

<p>Providing automated customer service (C)</p>
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In NLP, what is the purpose of stemming?

<p>To reduce words to their root form (B)</p>
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What is the main goal of Named Entity Recognition (NER)?

<p>To identify and classify named entities in text (B)</p>
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Which of the following is an example of a named entity that NER would identify?

<p>A proper noun like 'Paris' (B)</p>
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What does the term 'corpus' refer to in NLP?

<p>A collection of text data (C)</p>
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What is the purpose of parsing in NLP?

<p>To analyze the grammatical structure of sentences (A)</p>
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What is a 'stop word' in the context of NLP?

<p>A frequently used word that is often removed from text (D)</p>
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Which of the following is a common technique for text normalization in NLP?

<p>Converting all text to lowercase (B)</p>
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What is the primary function of language modeling in NLP?

<p>To predict the next word in a sequence (B)</p>
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What is the purpose of the bag-of-words (BoW) model?

<p>To represent text as an unordered set of words and their frequencies (A)</p>
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What does TF-IDF stand for?

<p>Term Frequency - Inverse Document Frequency (A)</p>
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In NLP, what is the purpose of Word Embeddings?

<p>Representing words as numerical vectors (D)</p>
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Which of the following is a popular word embedding technique?

<p>Word2Vec (A)</p>
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