Sentiment Analysis in NLP: Understanding Sentiments in Text
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Questions and Answers

What task involves extracting entities from the text?

  • Topic Analysis
  • Named Entity Recognition (correct)
  • Speech Recognition
  • Grammar Correction

Which NLP technique allows the extraction of meaning by identifying recurrent topics?

  • Speech Recognition
  • Topic Analysis (correct)
  • Grammar Correction
  • Named Entity Recognition

What is the main challenge in Speech Recognition?

  • Translating between languages
  • Handling different accents and grammar variations (correct)
  • Deciphering punctuation marks
  • Recognizing proper nouns

Which part of speech is 'better' in the sentence 'a better Customer service'?

<p>Adjective (B)</p> Signup and view all the answers

What does NLP stand for in the context mentioned?

<p>Natural Language Processing (D)</p> Signup and view all the answers

Which task does NLP machine perform on documents, paragraphs, and sentences?

<p>Tagging with appropriate topics (C)</p> Signup and view all the answers

What is the purpose of sentiment analysis in NLP?

<p>Determining the sentiment of a sentence (C)</p> Signup and view all the answers

What is the difference between stemming and lemmatization?

<p>Stemming simplifies a word by removing affixes, while lemmatization reduces it to its base form (B)</p> Signup and view all the answers

Why is stop word removal considered an important step in NLP?

<p>To remove words irrelevant to the meaning of the speech (D)</p> Signup and view all the answers

What happens to the word 'playing' after stemming?

<p>It becomes 'play' (C)</p> Signup and view all the answers

Which process involves adding parts of speech types to each token?

<p>Part of Speech Tagging (D)</p> Signup and view all the answers

What is the lemma word for 'sings', 'singing', and 'sung'?

<p>'sing' (D)</p> Signup and view all the answers

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