Keywords:deep learning, text mining, interpretation support
In deep learning, there is a problem that concrete classification patterns for deriving reasons for classification are often incomprehensible. In this paper, we propose a classification patterns extraction system from deep learning networks and verified the effectiveness of the system. The proposed system extracts classification patterns from the trained learning networks of LSTM using HMM. Then the system displays the extracted classification patterns so that users of the system can interpret the learning networks. In the verification experiments, the interpretations of the extracted classification patterns were compared with the interpretations of the classification patterns based on the TFIDF ranking. The results showed that the proposed system can extract classification patterns effective for interpretations of the learning networks.
Authentication for paper PDF access
A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.