Latent Semantic Index Defined
Latent Semantic Index (LSI) is a natural language process, in which search engines identify related keywords and process synonyms to deliver more accurate search results.
Latent Semantic Indexing is a natural language process where computers process and analyze bulks of natural language. LSI connects the human language with artificial intelligence, through speech recognition, natural language understanding, and natural language generation.
LSI uses an indexing and retrieval method, where the text is analyzed to extract certain concepts and then clustering them into similar categories based on the factor scores.
LSI is most commonly used in search engines. When a word or phrase is typed into a search engine, the search engine uses LSI to look for and collect the most common words and phrases to identify the keywords..
Businesses can use LSI in their search engine optimization to enhance their ranking and website visits.
In Data Defined, we help make the complex world of data more accessible by explaining some of the most complex aspects of the field.
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