Inverse document frequency is used in term document matrix true or false
Answers
Answer :- Inverse document frequency is used in term document matrix- True
A document matrix is a matrix that describes the frequency of terms that occur in a collection of documents. In a document-term matrix, columns correspond to terms and rows correspond to documents in the collection. There are various schemes for determining the value that each entry in the matrix should get. One such scheme is tf-idf. TF- IDF is Term Frequency- Inverse Document Frequency. It are useful in the field of natural language processing.
Answer:
Inverse document frequency is the numerical statistic intended to reflect how important a word to document in collection or corpus.
It is often used as a weighting factor with the complete search option that have the information retrieval, user modelling, text mining and many others.
Normally, value increases proportionally with number of times along with the word appears as document.
Explanation: