An Approach to Knowledge Discovery by Data Harvesting

In mining technology the text mining plays a vital role in today’s life. Text mining is cluster data like user needs and classify the data.But its having some challenges like Information is in unstructured textual form, Not readily accessible to be used by computers, Dealing with huge collections of documents.One can express personal experiences and opinions on almost anything, at review sites, forums, discussion groups, blogs ..., (called the user generated content.)They contain valuable information in this processing cost is indeed. However In text and opinion mining problems we not solved So this paper address the problem of knowledge discovery for question and answers. Here we are presented knowledge discovery with Markov techniques and comparable techniques, these are present rigorous information about the mining. My results shows potent and emotive information for asking questions