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</p> Signup and view all the answers

    What does NLP stand for in the context mentioned?

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

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

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

    What is the purpose of sentiment analysis in NLP?

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

    What happens to the word 'playing' after stemming?

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

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

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

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

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

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