NLP: TF-IDF (Term Frequency-Inverse Document Frequency)
It is advisable to go through basics og Bag of Words before delving into TF-IDF:
TF-IDF stands for Term Frequency-Inverse Document Frequency. It is a numerical representation technique commonly used in natural language processing (NLP) to reflect the importance of a word in a document within a collection or corpus.
It is basically a numerical statistic used in information retrieval and text mining to measure the importance of a term in a document within a larger collection or corpus.
TF-IDF takes into account both the frequency of a word within a document (term frequency) and the rarity of the word across the entire corpus (inverse document frequency).
