You've learned this already. âœ…

Click here to view the next lesson.

# 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

- 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

- 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