Research on Intelligent Parsing of Business English Semantics based on Root Data Network Mining

Abstract

Based on network mining of root data, the basic features of business English semantics are analyzed, and the application of this theory in business English semantic analysis is discussed. Based on the fourth-generation semantic analysis tool of CQ Pweb, the collocation features of high-frequency business English words were extracted and reduced in multiple directions through research on collocations, class connections, semantic tendency and semantic prosody, and the data volume was compressed to 51.2%. Using the high-precision definition algorithm of root data network mining to reorganize, collocate and parse semantic features, the experimental results show that the effect of business English parsing is increased by 6.7%.