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Quiz Part III: Topic Modeling and Text Summarization
Chapter 7: Topic Modeling
- What is the primary goal of topic modeling?
- A) To classify text into predefined categories
- B) To identify the underlying themes or topics in a collection of documents
- C) To generate summaries of text
- D) To translate text from one language to another
- Which of the following techniques is based on singular value decomposition (SVD)?
- A) Latent Dirichlet Allocation (LDA)
- B) Hierarchical Dirichlet Process (HDP)
- C) Latent Semantic Analysis (LSA)
- D) TextRank
- What is a key advantage of Hierarchical Dirichlet Process (HDP) over Latent Dirichlet Allocation (LDA)?
- A) HDP is simpler to implement
- B) HDP automatically determines the number of topics
- C) HDP requires less computational resources
- D) HDP provides more interpretable results
- Which library did we use to implement Latent Dirichlet Allocation (LDA) and Hierarchical Dirichlet Process (HDP) in Python?
- A) NLTK
- B) spaCy
- C) Gensim
- D) Scikit-learn
- In LDA, what does the term 'topic-word distribution' refer to?
- A) The probability distribution of words in a document
- B) The probability distribution of topics in a document
- C) The probability distribution of words given a topic
- D) The probability distribution of topics given a word
Chapter 7: Topic Modeling
- What is the primary goal of topic modeling?
- A) To classify text into predefined categories
- B) To identify the underlying themes or topics in a collection of documents
- C) To generate summaries of text
- D) To translate text from one language to another
- Which of the following techniques is based on singular value decomposition (SVD)?
- A) Latent Dirichlet Allocation (LDA)
- B) Hierarchical Dirichlet Process (HDP)
- C) Latent Semantic Analysis (LSA)
- D) TextRank
- What is a key advantage of Hierarchical Dirichlet Process (HDP) over Latent Dirichlet Allocation (LDA)?
- A) HDP is simpler to implement
- B) HDP automatically determines the number of topics
- C) HDP requires less computational resources
- D) HDP provides more interpretable results
- Which library did we use to implement Latent Dirichlet Allocation (LDA) and Hierarchical Dirichlet Process (HDP) in Python?
- A) NLTK
- B) spaCy
- C) Gensim
- D) Scikit-learn
- In LDA, what does the term 'topic-word distribution' refer to?
- A) The probability distribution of words in a document
- B) The probability distribution of topics in a document
- C) The probability distribution of words given a topic
- D) The probability distribution of topics given a word
Chapter 7: Topic Modeling
- What is the primary goal of topic modeling?
- A) To classify text into predefined categories
- B) To identify the underlying themes or topics in a collection of documents
- C) To generate summaries of text
- D) To translate text from one language to another
- Which of the following techniques is based on singular value decomposition (SVD)?
- A) Latent Dirichlet Allocation (LDA)
- B) Hierarchical Dirichlet Process (HDP)
- C) Latent Semantic Analysis (LSA)
- D) TextRank
- What is a key advantage of Hierarchical Dirichlet Process (HDP) over Latent Dirichlet Allocation (LDA)?
- A) HDP is simpler to implement
- B) HDP automatically determines the number of topics
- C) HDP requires less computational resources
- D) HDP provides more interpretable results
- Which library did we use to implement Latent Dirichlet Allocation (LDA) and Hierarchical Dirichlet Process (HDP) in Python?
- A) NLTK
- B) spaCy
- C) Gensim
- D) Scikit-learn
- In LDA, what does the term 'topic-word distribution' refer to?
- A) The probability distribution of words in a document
- B) The probability distribution of topics in a document
- C) The probability distribution of words given a topic
- D) The probability distribution of topics given a word
Chapter 7: Topic Modeling
- What is the primary goal of topic modeling?
- A) To classify text into predefined categories
- B) To identify the underlying themes or topics in a collection of documents
- C) To generate summaries of text
- D) To translate text from one language to another
- Which of the following techniques is based on singular value decomposition (SVD)?
- A) Latent Dirichlet Allocation (LDA)
- B) Hierarchical Dirichlet Process (HDP)
- C) Latent Semantic Analysis (LSA)
- D) TextRank
- What is a key advantage of Hierarchical Dirichlet Process (HDP) over Latent Dirichlet Allocation (LDA)?
- A) HDP is simpler to implement
- B) HDP automatically determines the number of topics
- C) HDP requires less computational resources
- D) HDP provides more interpretable results
- Which library did we use to implement Latent Dirichlet Allocation (LDA) and Hierarchical Dirichlet Process (HDP) in Python?
- A) NLTK
- B) spaCy
- C) Gensim
- D) Scikit-learn
- In LDA, what does the term 'topic-word distribution' refer to?
- A) The probability distribution of words in a document
- B) The probability distribution of topics in a document
- C) The probability distribution of words given a topic
- D) The probability distribution of topics given a word