June 2018
Beginner to intermediate
306 pages
7h 42m
English
book
Natural Language Processing and Computational Linguistics
by Brian Sacash, Bhargav Srinivasa-Desikan, Reddy Anil Kumar
Content preview from Natural Language Processing and Computational Linguistics
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TF-IDF
TF-IDF is short for term frequency-inverse document frequency. Largely used in search engines to find relevant documents based on a query, it is a rather intuitive approach to converting our sentences into vectors.
As the name suggests, TF-IDF tries to encode two different kinds of information - term frequency and inverse document frequency. Term frequency (TF) is the number of times a word appears in a document.
IDF helps us understand the importance of a word in a document. By calculating the logarithmically scaled inverse fraction of the documents that contain the word (obtained by dividing the total number of documents by the number of documents containing the term) and then taking the logarithm of that quotient, we can have a ...
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