Package smile.nlp.relevance

Term-document relevance ranking algorithms.

See: Description

Interface Summary

Interface	Description
RelevanceRanker	An interface to provide relevance ranking algorithm.

Class Summary

Class	Description
BM25	The BM25 weighting scheme, often called Okapi weighting, after the system in which it was first implemented, was developed as a way of building a probabilistic model sensitive to term frequency and document length while not introducing too many additional parameters into the model.
Relevance	In the context of information retrieval, relevance denotes how well a retrieved set of documents meets the information need of the user.
TFIDF	The tf-idf weight (term frequency-inverse document frequency) is a weight often used in information retrieval and text mining.

Package smile.nlp.relevance Description

Term-document relevance ranking algorithms.