Towards Construction of an Explanation Framework for Whole Processes of Data Analysis Applications: Concepts and Use Cases

摘要

The main contribution of the paper is to address the necessity of both macro and micro explanations for Social Big Data (SBD) applications and to propose an explanation framework integrating both of these, allowing SBD applications to be more widely accepted and used. The framework provides both a macro explanation of the whole procedure and a micro explanation of the constructed model, as well as an explanation of the decisions made by the model. For a macro explanation of the application, we introduce a data model for abstractly describing all processes from data acquisition to data analysis. We explain the processes based on the data model. For the micro explanation, we illustrate the basis of the interpretation of the analytical model and the decisions made when applying it. We describe some of the specific features of the explanation framework proposed through multiple use cases.