Question: Consider a set of news and classify them using Term Frequency and Inverse Document Frequency (TFIDF). Provide step by step working of TFIDF in this

Consider a set of news and classify them using Term Frequency and Inverse Document Frequency (TFIDF). Provide step by step working of TFIDF in this case. Can you cluster news using K-means? How can you measure distance between two news? Give two examples, in one case you model it as Euclidean distance and in another case model it as Manhattan distance.

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StepbyStep TFIDF Calculation 1 Collect the News Articles Article 1 The stock market is experiencing volatility Article 2 The weather forecast predicts heavy rain today Article 3 Investors are worried ... View full answer

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