Latent 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 Latent Semantic Indexing
  • 7 Obsolete SEO Tactics You’re Wasting Your Time On

    … that are topical to the content on your website. Obsolete tactic #2: SEO is about writing keyword-rich content If you want to rank for a term like “business credit cards,” you would need that phrase on your web page, right? That used to be the case, but Google’s algorithm uses latent semantic indexing. Latent semantic indexing (LSI) is an indexing…

    Neil Patel/ Quick Sproutin Social SEO Google- 14 readers -
  • 2014 Google Ranking Factors

    … The same as in 2013, with the same percentage Last year’s number 4 Last year’s number 3 A recent buzzword that one leading industry expert wrote about in an article, despite Google saying that they don’t take that into account Everything else tied for 6th with such minute percentages that there’s really no way to differentiate between them HTTPS Latent Semantic Indexing Word Targeted Funnel Semantic Eigenvector Ordinance Like this: Like Loading... …

    WTFSEOin Google- 5 readers -
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