SNA: Construction of Meta classifications in Domain Modeling

By using text mining concepts to be found out the domain modeling depended on the
vocabularies and relevant domains from the documents. Each document is having various concepts and
each concept is having various terminologies. Collection of wide documents are very useful and strongly
to b0e understood in that particular domain. Sometimes documents are associated with meaningful or
meaningless information in the particular domain. Machine learning one of the interested concepts is
domain modeling. This research work focuses on the huge dataset for author article relationship with
appropriate Ensemble classification approaches applied and find out the best accuracy of this dataset