Theano
Natural Language Processing
A numerical statistic that reflects how important a word is to a document in a collection.
Detailed Explanation
TF-IDF (Term Frequency-Inverse Document Frequency) is a statistical measure used in Natural Language Processing to evaluate the importance of a word within a specific document relative to a collection or corpus. It combines the frequency of the term in the document with its rarity across all documents, helping to identify words that are most relevant for distinguishing content.
Use Cases
- •Improve search relevance by prioritizing unique, informative words using TF-IDF scores in document retrieval systems.
Related Terms
Other terms in the Natural Language Processing category