Apply Linguistics Feature Extraction Technologies to Discover the Influence of Expressional Ability Factors on Audience Satisfaction

Abstract

This paper proposed a research framework to discover two modules which affected the audience satisfaction based on the analysis of linguistic features of the narrators content. It comprised two research frameworks: First, linguistic feature extraction, it used three probability estimation methods to perform SAT analysis, and formed the expression ability vector for further processing. Second, Questionnaire analysis, it collected the questionnaires from audience and formed the satisfaction vector. Finally, we use Structure Equation Modeling (SEM) to probe the mutual influence between these two groups of vector and find out the most representative linguistic characteristic factors which affect audience satisfaction.