TY - GEN
T1 - Extracting topic related keywords by backtracking CNN based text classifier
AU - Cha, Jonghun
AU - Lee, Jee Hyong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In the last decades, many studies have been done to extract keywords from text and they show remarkable performance. Most of these studies use a rule-based methodology. They usually focus on Part of Speech(POS), collocations, co-occurrences and dependency of words. However, considering the topic of text is very important key for extracting keywords. Thus, in this paper, we proposed a keywords extracting method using Convolutional Neural Network(CNN) based text classifier which has sufficient information about the topic of text. Experimental results show that using topic related information in CNN text classifier model can improve the quality of keywords extraction. Also proposed method is advantageous in that it requires only a deep learning model differently from existing methods.
AB - In the last decades, many studies have been done to extract keywords from text and they show remarkable performance. Most of these studies use a rule-based methodology. They usually focus on Part of Speech(POS), collocations, co-occurrences and dependency of words. However, considering the topic of text is very important key for extracting keywords. Thus, in this paper, we proposed a keywords extracting method using Convolutional Neural Network(CNN) based text classifier which has sufficient information about the topic of text. Experimental results show that using topic related information in CNN text classifier model can improve the quality of keywords extraction. Also proposed method is advantageous in that it requires only a deep learning model differently from existing methods.
KW - CNN
KW - Extraction
KW - Grad-Cam
UR - https://www.scopus.com/pages/publications/85067094581
U2 - 10.1109/SCIS-ISIS.2018.00026
DO - 10.1109/SCIS-ISIS.2018.00026
M3 - Conference contribution
AN - SCOPUS:85067094581
T3 - Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
SP - 93
EP - 96
BT - Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
Y2 - 5 December 2018 through 8 December 2018
ER -