Latent semantic indexing is the science of natural language processing. LSI analyzes relationships between words and is designed to distinguish naturally written text from keyword-stuffed documents. Latent semantic indexing considers natural and synonymous relationship between words.
For example, if you’re examining an article about an airplane, LSI will look for synonyms: aircraft, plane, aero plane. It will also look for related words, which are NOT synonymous to the word, but are often mentioned when discussing airplanes: ailerons, turbulence, fuel, clouds, sky, roll, pitch, etc.
The point of LSI is to detect natural writing and distinguish it from robotic copy written to manipulate search results. Google purchased the company Applied Semantics, which developed advanced LSI technology. Their know-how was incorporated into AdSense, and possibly into search algorithms.
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