Depression Tendency Screening Use Text Based Emotional Analysis Technique

This paper proposes a text recognition model for semantic analysis of the interview records related to depression, which can effectively identify whether the interviewee is a patient with depression tendency. It mainly consists of two components: 1) The framework of Support Vector Machine (SVM) for Classification of depression related questions; 2) the framework of Doc2vec and Text Convolutional Neural Network (TextCNN) for classification of whether the interviewee has a tendency to depression. Finally, the results obtained by the two classification methods are combined to establish a text classification model that is easy to analyze the tendency of depression.