Semantic Indexing

Latent semantic indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text. LSI is based on the principle that words that are used in the same contexts tend to have similar meanings. A key feature of LSI is its ability to extract the conceptual content of a body of text by establishing associations between those terms that occur in similar contexts.
Posts about Semantic Indexing
  • Step by step to Write a perfect blog post

    … converts well; they are passive years after publication; you can get millions of daily traffic from that source. Even if semantic indexing does help you get traffic from the content body, headline will increase search traffic by 200%. When someone sees the exact keyword in the headline, he knows that your content is about that subject. Include…

    Pierre Eustache/ HeedPages.comin Content- 30 readers -
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