Analysis of various information retrieval models

Information Retrieval is an automated way to extract the information from various sources. It has always been a key area of research due to its wide range of applications in document searching, software traceability etc. We have presented an analysis of the three basic models of information retrieval i.e. Vector Space Model, Latent Dirichlet Allocation Model and Latent Semantic Indexing Model in this paper. These models are explained in detail according to their basic concepts, methodology adopted and area of application. We have provided the advantages of these topic models over each other and have discussed their limitations too. We have also highlighted the basic categories of information. The variants of some basic models are also described according to their concept and usage. This kind of analysis will be useful for the user to make a choice between these information retrieval models as to find out which one is to be used regarding a particular problem or application.

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