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Can you explain how tf-idf works in detail?

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  • Can you explain how tf-idf works in detail?
  • What is your understanding of the term tf-idf? How does it help in information retrievals?
  • Could you elaborate on the significance of tf-idf in natural language processing?
  • How does the tf-idf algorithm rank words based on their importance in a document and what is the range of values for tf-idf scores?
  • As an expert in information retrieval, could you share how tf-idf can be used to identify relevant content among the millions of data available on the internet?
  • What is the impact of stop-word removal on tf-idf analysis?
  • Why tf-idf is considered better than other techniques to determine the relevance of a document based on search queries?
  • How can tf-idf help increase the accuracy of text classification and clustering algorithms?
  • In your opinion, which applications of tf-idf are the most successful in text mining, and why?
  • What is tf-idf ?

Interview question asked to Machine Learning Engineers interviewing at Pluralsight, SAP, TripAdvisor and others: Can you explain how tf-idf works in detail?.