A Criminal Detection of Mystery Novel Using the Principal Components Regression Analysis of the Feature Vector of Words Considering Co-Occurrence Words

Abstract

In recent years, there is an interpretability problem that even experts cannot explain the reasoning process of machine learning. A contest featuring interpretability, "First Knowledge Graph Reasoning Challenge 2018," was held in Tokyo. To learn the sense of word in the novel, a previous study proposed a method that was based on word embedding. However, it did not consider the flow of events. In this study, considering co-occurrence words, we propose a method using the principal components regression analysis of the feature vector of words.