what is latent semantic indexing?

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Offline jeyavinothTopic starter

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what is latent semantic indexing?
« on: 08-07-2017, 07:57:57 »
Hi,
        what is latent semantic indexing?

Regards,
Jeya vinoth
http://www.desss.com


Offline neelseowork

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Re: what is latent semantic indexing?
« Reply #1 on: 08-08-2017, 00:22:15 »
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.

Offline friendhrm

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Re: what is latent semantic indexing?
« Reply #2 on: 08-08-2017, 03:50:47 »
Latent Semantic Analysis (LSA), also known as Latent Semantic Indexing (LSI) literally means analyzing documents to find the underlying meaning or concepts of those documents. If each word only meant one concept, and each concept was only described by one word, then LSA would be easy since there is a simple mapping from words to concepts.

Offline Sojan Babu

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Re: what is latent semantic indexing?
« Reply #3 on: 08-11-2017, 01:47:13 »
Latent semantic indexing it is an algorithm used by search engines to determine what a page is about outside of specifically matching search query text. The LSI algorithm doesn't actually understand the meanings of words on the page but it can spot patterns of related words. LSI will may return relevant results that don't contain the keyword at all, but those pages with related words.

Offline Asmit Roy

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Re: what is latent semantic indexing?
« Reply #4 on: 08-11-2017, 01:53:26 »
          Latent semantic indexing adds an important step to the document indexing process. In addition to recording which keywords a document contains, the method examines the document collection as a whole, to see which other documents contain some of those same words. LSI considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant. This simple method correlates surprisingly well with how a human being, looking at content, might classify a document collection. Although the LSI algorithm doesn't understand anything about what the words mean, the patterns it notices can make it seem astonishingly intelligent.

           When you search an LSI-indexed database, the search engine looks at similarity values it has calculated for every content word, and returns the documents that it thinks best fit the query. Because two documents may be semantically very close even if they do not share a particular keyword, LSI does not require an exact match to return useful results. Where a plain keyword search will fail if there is no exact match, LSI will often return relevant documents that don't contain the keyword at all.

            To use an earlier example, let's say we use LSI to index our collection of mathematical articles. If the words n-dimensional, manifold and topology appear together in enough articles, the search algorithm will notice that the three terms are semantically close. A search for n-dimensional manifolds will therefore return a set of articles containing that phrase (the same result we would get with a regular search), but also articles that contain just the word topology. The search engine understands nothing about mathematics, but examining a sufficient number of documents teaches it that the three terms are related. It then uses that information to provide an expanded set of results with better recall than a plain keyword search.


Offline Hitesh Patel

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Re: what is latent semantic indexing?
« Reply #5 on: 08-11-2017, 22:53:13 »
 LSI keywords stand for (Latent Semantic Indexing)  those keywords which semantically related to your primary keywords, google doesn't accept repeated keywords more than 5 to 6 %  of your main keywords otherwise it will consider keyword stuffing and it will decrease your ranking in search engine, you can use its similar keywords of your main keywords in your content. 
 
   

Offline erieki

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Re: what is latent semantic indexing?
« Reply #6 on: 08-12-2017, 05:20:34 »
Latent Semantic Analysis, as the name suggests is the analysis of latent i.e. hidden semantics in a corpora of text. A collection of documents can be represented as a huge term-document matrix and various things such as how close two documents are, how close a document is to a user issued query, etc. can be inferred by cosine similarity, Jaccard Index, etc

Offline jackar56

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Re: what is latent semantic indexing?
« Reply #7 on: 08-14-2017, 00:48:26 »
LSI (Latent Semantic Indexing) is the a portion of Google's calculation that will crease words into a grid for investigations, with the end goal of recognizing semantically related terms.

 

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