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Menu iconMenu iconNatural Language Processing with Python Updated Edition
Natural Language Processing with Python Updated Edition
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Quiz Part II: Advanced Text Processing and Modeling
Chapter 4: Language Modeling
Chapter 5: Syntax and Parsing
Chapter 6: Sentiment Analysis
Answers
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Quiz Part II: Advanced Text Processing and Modeling

Chapter 6: Sentiment Analysis

  1. Which of the following is a rule-based approach to sentiment analysis?
    • A) Logistic Regression
    • B) TextBlob
    • C) LSTM
    • D) BERT
  2. What is the main advantage of using machine learning approaches for sentiment analysis?
    • A) They are easier to implement
    • B) They require less data
    • C) They can capture complex patterns in data
    • D) They are more interpretable
  3. Which deep learning model leverages self-attention mechanisms and has achieved state-of-the-art performance in many NLP tasks?
    • A) CNN
    • B) RNN
    • C) LSTM
    • D) BERT

Chapter 6: Sentiment Analysis

  1. Which of the following is a rule-based approach to sentiment analysis?
    • A) Logistic Regression
    • B) TextBlob
    • C) LSTM
    • D) BERT
  2. What is the main advantage of using machine learning approaches for sentiment analysis?
    • A) They are easier to implement
    • B) They require less data
    • C) They can capture complex patterns in data
    • D) They are more interpretable
  3. Which deep learning model leverages self-attention mechanisms and has achieved state-of-the-art performance in many NLP tasks?
    • A) CNN
    • B) RNN
    • C) LSTM
    • D) BERT

Chapter 6: Sentiment Analysis

  1. Which of the following is a rule-based approach to sentiment analysis?
    • A) Logistic Regression
    • B) TextBlob
    • C) LSTM
    • D) BERT
  2. What is the main advantage of using machine learning approaches for sentiment analysis?
    • A) They are easier to implement
    • B) They require less data
    • C) They can capture complex patterns in data
    • D) They are more interpretable
  3. Which deep learning model leverages self-attention mechanisms and has achieved state-of-the-art performance in many NLP tasks?
    • A) CNN
    • B) RNN
    • C) LSTM
    • D) BERT

Chapter 6: Sentiment Analysis

  1. Which of the following is a rule-based approach to sentiment analysis?
    • A) Logistic Regression
    • B) TextBlob
    • C) LSTM
    • D) BERT
  2. What is the main advantage of using machine learning approaches for sentiment analysis?
    • A) They are easier to implement
    • B) They require less data
    • C) They can capture complex patterns in data
    • D) They are more interpretable
  3. Which deep learning model leverages self-attention mechanisms and has achieved state-of-the-art performance in many NLP tasks?
    • A) CNN
    • B) RNN
    • C) LSTM
    • D) BERT
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