1. A grid-computing implemented method for automated classification of documents and to automate classification of users posts provided on a network, the method using information theory and semantic density for feature reduction, the method comprising: a) detecting the one or more languages of the documents to be classified; b) discovering one or more sentences within the one or more documents; c) executing term reduction of the terms based on information gain and information theory, allowing for scoring of semantic richness of terms and expressions; d) ranking and scoring terms and expressions based on industry specific relevance scores founded on normalized relative units of information; e) enumerating corresponding categories; f) classifying text objects contained in the documents using a faceted classification and by discovering the polarity and objectivity of the documents; g) categorizing the documents by extracting the categories from the documents; h) organizing the categories using automated taxonomic structuring.