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
  • How to optimize for user intent in search

    … User intent. Also known as searcher intent, it is a theory that unashamedly stands up to the more primitive pre-Penguin and Panda tactics of optimizing purely for keywords. User intent and optimizing for it has come into being via a combination of three key factors: Latent Semantic Indexing, Hummingbird, Rankbrain. All have fantastic…

    Search Engine Watchin SEO How To's- 14 readers -
  • Using Latent Semantic Indexing to boost your SEO strategy

    … SEO is an ever-changing, expansive science that is often hard to understand. You know that you need specific keywords to boost your website traffic, but we’re about to throw another curveball at you – latent semantic indexing (LSI). It sounds like a complicated term, but if you understand how basic SEO works you’re already halfway there. Below…

    Amanda Disilvestro/ Search Engine Watchin SEO- 18 readers -
  • Guide to Google ranking signals – Part 2: keywords

    … a penalty. Latent Semantic Indexing (LSI) Keywords Since the advent of Panda and Hummingbird, LSI is becoming increasingly important in SEO as it’s used by Google to determine between ‘keyword stuffed’ articles and genuinely relevant content. As our own contributor Nikolay Stoyanov states, LSI keywords are simply closely related words or phrases…

    Christopher Ratcliff/ Search Engine Watchin SEO Google- 13 readers -
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