Semi-quantitative semantic oriented polar concept associations classifying method, involves utilizing natural language processing software and adopting semantic classification technology for understanding meaning of source texts

摘要

The method involves sequentially utilizing a natural language processing (NLP) software and adopting semantic classification technology for understanding a structure and meaning of source texts for determining concept associations in the text, with regard to emotional value. Phrases, words or morphemes in a sentence are quantified based on ontology for the classification of semantic oriented polar concept associations in text.