On the identification of the structural pattern of terms occurrence in a document using Bayesian Network

The pattern of text documents is strongly influenced by the advent of the first term in composing term structure of each sentence. When two documents have the same pattern, then the second and the following terms tend to be same. This paper would create a special tool for detecting the similarity of structural pattern of two text documents. Latent Semantic Analysis(LSA) couples with Bayesian Network (BN) are employed as the main engine to build the algorithms. The work of these approaches is demonstrated to detect the similarities of the appearance of the term in the sentence in any text documents.