A method of abstracting short text for consulting clients

Text abstracting is widely used in search engine, text database, information filtering. In the text extraction method, the mathematical model is usually established first and extracted by the model, but this method is not effective in solving nonlinear problems. Support vector machine (SVM), based on statistical learning theory, converts a certain amount of text into vectorized training text data for extraction. This paper adopts support vector machine (SVM) to study text extraction in telecommunication field, and we obtained good results.