It all depends for what you need it for. BTW, Latent Semantic Analysis (LSA) is a super set of LSI. LSI concentrates on just how to index and search documents in a reduced dimensional (latent) space whether LSA includes a range of possible analysis that can be done on representations in this space. There are other equivalent techniques (e.g. probabilistic LSI) that can be much more efficient.
Perhaps the original requester could give us more information about how he intends to use LSI. For example is this for plain "concept" search or for document classification, clustering, automatic query expansion/suggestion, link/topology analysis or for something else? J.D. 2007/1/29, Mario Alejandro M. <[EMAIL PROTECTED]>:
I also research the use of LSA. My interest is simply cluster the information. I found that LSA is a way, but I'm not convinved is the better (also, is very high in CPU and RAM consumption). -- Mario Alejandro Montoya MCP www.paradondevamos.com !El mejor sitio de restaurantes y entretenimiento de Colombia!
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