Research on MV Text Mining Model Based on RR Texts

摘要

With modern information technologies advancing, a mass of information texts are produced and it becomes possible to mine a lot of valuable knowledge from electric documents. According to the characters of the documents which include reason and result texts (R&R), author proposes a multi-vector (MV) text mining model based on the needs of supporting decision and provides it applicable value from the perspective of knowledge management. The key part of the paper is to develop text mining from analysis of text mining similarity to the similarity of text entities or the cause. By applying reasons similarity classified results vector, and analyzing the results, it provided multi-objective decision-making support.