TF-IDF model for predictive analytics

TF-IDF measures how important a word is in a document or in a collection of documents. It is used extensively in informational retrieval and reflects the weight of the word in the document. TF-IDF values increase in proportion to a number of occurrences of the words, otherwise known as the frequency of the word/term, and consists of two key elements, the term frequency and the inverse document frequency.

How to compute TF, IDF, and TFIDF?

TF is the term frequency, which is the frequency of a word/term in the document. For a term t, TF measures the number of times term t occurs in document d. The TF can be implemented using hashing where a term is mapped into an index by applying a hash function. On the other ...

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