Semantic indexing is a method used in information retrieval that focuses on understanding the meaning and context of words within a document, rather than just matching keywords. This technique helps to improve the accuracy of search results by considering synonyms and related concepts, allowing for a deeper comprehension of the content being indexed. By leveraging techniques like Latent Semantic Analysis (LSA), semantic indexing enhances the effectiveness of retrieval models by connecting terms with their underlying meanings.
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