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Quiz Part III: Topic Modeling and Text Summarization
Answers
- B) To identify the underlying themes or topics in a collection of documents
- C) Latent Semantic Analysis (LSA)
- B) HDP automatically determines the number of topics
- C) Gensim
- C) The probability distribution of words given a topic
- B) Extractive summarization selects key sentences from the original text, while abstractive summarization generates new sentences.
- B) PageRank
- C) BART
- B) Abstractive summarization produces more coherent and readable summaries
- D) Hugging Face Transformers
Answers
- B) To identify the underlying themes or topics in a collection of documents
- C) Latent Semantic Analysis (LSA)
- B) HDP automatically determines the number of topics
- C) Gensim
- C) The probability distribution of words given a topic
- B) Extractive summarization selects key sentences from the original text, while abstractive summarization generates new sentences.
- B) PageRank
- C) BART
- B) Abstractive summarization produces more coherent and readable summaries
- D) Hugging Face Transformers
Answers
- B) To identify the underlying themes or topics in a collection of documents
- C) Latent Semantic Analysis (LSA)
- B) HDP automatically determines the number of topics
- C) Gensim
- C) The probability distribution of words given a topic
- B) Extractive summarization selects key sentences from the original text, while abstractive summarization generates new sentences.
- B) PageRank
- C) BART
- B) Abstractive summarization produces more coherent and readable summaries
- D) Hugging Face Transformers
Answers
- B) To identify the underlying themes or topics in a collection of documents
- C) Latent Semantic Analysis (LSA)
- B) HDP automatically determines the number of topics
- C) Gensim
- C) The probability distribution of words given a topic
- B) Extractive summarization selects key sentences from the original text, while abstractive summarization generates new sentences.
- B) PageRank
- C) BART
- B) Abstractive summarization produces more coherent and readable summaries
- D) Hugging Face Transformers