Term frequency–inverse document frequency (TF-IDF): TF-IDF…
Term frequency–inverse document frequency (TF-IDF): TF-IDF = Term Frequency (TF) × Inverse document frequency (IDF) = the frequency of the word `i` in the document `n` × log( ) Where N is the total number of documents and is the number of documents containing word `i`. For example, if there are two documents with three words as vocabulary, the TF-IDF embedding vector for each document is: Based on the above information, TF-IDF weights (1)_________(a. less b. more) frequency words in the given document, while (2)____________(a. less b. more) weights common words in documents.