Username   Password       Forgot your password?  Forgot your username? 

ISSUES BY YEAR

Volume 15 - 2019

No.1 January 2019
No.1 January 2019

Volume 14 - 2018

No.1 January 2018
No.1 January 2018
No.3 March 2018
No.3 March 2018
No.4 April 2018
No.4 April 2018
No.5 May 2018
No.5 May 2018
No.6 June 2018
No.6 June 2018
No.7 July 2018
No.7 July 2018
No.8 August 2018
No.8 August 2018
No.9 September 2018
No.9 September 2018
No.10 October 2018
No.10 October 2018
No.11 November 2018
No.11 November 2018
No.12 December 2018
No.12 December 2018

Volume 13 - 2017

No.4 July 2017
No.4 July 2017
No.5 September 2017
No.5 September 2017
No.7 November 2017
No.7 November 2017
No.8 December 2017
No.8 December 2017

Volume 12 - 2016

Volume 11 - 2015

Volume 10 - 2014

Volume 9 - 2013

Volume 8 - 2012

Volume 7 - 2011

Volume 6 - 2010

Volume 5 - 2009

Volume 4 - 2008

Volume 3 - 2007

Volume 2 - 2006

 

Extracting Emotional Units based on POS Templates

Volume 14, Number 2, February 2018, pp. 357-362
DOI: 10.23940/ijpe.18.02.p17.357362

Zhenggao Pan, Lili Chen

School of Information Engineering, Suzhou University, Suzhou, 234000, China



Abstract:

With the increasingly popularity of electronic commerce, a large number of product reviews appeared in electronic commerce websites, which implicated a lot of valuable business information. Sentiment analysis is the core issue in disposing of business information, and the product feature words and sentiment words extraction are key technology that affect the quality of sentiment analysis. This paper proposes a simultaneous extraction algorithm of product feature words and sentiment words based on part-of-speech(POS) relation templates. Firstly, we extract possible POS dependency templates in a training set by using the supervised sequence rules mining algorithm. Secondly, we use the templates in the test samples to extract possible two tuple of product feature words and sentiment words. Finally, we test this method in a hotel review corpus. The experimental results show that this proposed method has a good application effect.

 

References: 7

    1. S. Cen, Y. Mao, R. Li, “Credit distribution: A graph-based approach to extract product description words,” Knowledge Acquisition and Modeling, KAM’08. International Symposium on, pp.398-402, 2008.
    2. L. L. Dong, F. R. Zhao, X. Zhang, “Analysing Propensity of Product Reviews Based on Domain Ontology and Sentiment Lexicon,” Computer Applications and Software, vol. 31, no. 12, pp.104-108, 2014.
    3. J. Z. Du, J. Xu, Y. Liu, “Research on Construction of Feature-Sentiment Ontology and Sentiment Analysis,” New Technology of Library and Information Service, vol. 30, no. 5, pp.74-82, 2014.
    4. M. Hu, B. Liu, “Opinion feature extraction using class sequential rules,” Proc. of the Spring Symposia on Computational Approaches to Analyzing Web blogs, pp. 61-66, 2006.
    5. R. Srikant, R. Agrawal, “Mining sequential patterns: generalizations and performance improvements”, Proc. of 5th International Conference on Extending Database Technology(EDBT), pp. 3-17, 1996.
    6. W. J. Zhao, Y. Zhou, “A template-based approach to extract product features and sentiment words”, IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE’09), pp. 1-5, 2009.
    7. Y. Zhang, Y. W. Liu, “Sequential Pattern Algorithm of Association Rules based on Constraint”, Journal of Taiyuan Normal University (Natural Science Edition), vol. 14, no. 1, pp. 44-48, 2015.

       

      Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

      Attachments:
      Download this file (IJPE-2018-02-17.pdf)IJPE-2018-02-17.pdf[Extracting Emotional Units based on POS Templates]523 Kb
       

      CURRENT ISSUE

      Prev Next

      Engine Life Prediction based on Degradation Data

      Yanhua Cao, Jinmao Guo, Yong Li, and Huiqiang Lv

      Read more

      A Dynamic Model for Winning Probability Estimation in a Long-Lasting Campaign

      Kaiye Gao, Xiangbin Yan, Rui Peng, Hui Qiu, and Langtao Wu

      Read more

      Selective Maintenance Decision-Making of Complex Systems Considering Imperfect Maintenance

      Shaohua Wang, Shixin Zhang, Yong Li, Hongxiang Liu, and Zhengjun Peng

      Read more

      Reliability Modeling of Speech Recognition Tasks

      Hui Qiu, Xiaobin Yan, Rui Peng, Kaiye Gao, and Langtao Wu

      Read more

      Structural Design and Optimization of an Underwater Skirt Pile Gripper

      Haixia Gong, Huailiang Li, Wentai Yu, Shunqing Liu, Sidie Yang, and Chenye Wang

      Read more

      Reliability Model of TBM Main Bearing based on Nonlinear Strength Degradation Theory

      Xu Zhang, Yiqiang Zhang, Yue Sun, Baogang Wen, and Lijun Jiang

      Read more

      Chinese Word Segmentation based on Bidirectional GRU-CRF Model

      Jinli Che, Liwei Tang, Shijie Deng, and Xujun Su

      Read more

      Load Analysis and Calculation Optimization of Horizontal Axis Wind Turbine Blades

      Junxi Bi, Chenglong Zheng, Hongzhong Huang, Yan Zhou, and Xiaoxue Li

      Read more

      A Model for Pantograph-Catenary Electromechanical Interaction

      Yuan Zhong, Jiqin Wu, Feng Han, and Jiawei Zhang

      Read more

      Lithium-Ion Battery Management System for Electric Vehicles

      Linjie Li, Zhaojun Li, Jingzhou Zhao, and Wei Guo

      Read more

      XML Privacy Preserving Model based on Dynamic Context

      Meijuan Wang, Song Huang, Changyou Zheng, and Hui Li

      Read more

      Risk Evaluation of Embedded Linux in Aerospace based on Cloud Model

      Yu Su, Yushuai Liu, Li Sun, Zhexi Yao, and Jinbo Wang

      Read more

      Real Time Optimization of Linux System in Aerospace

      Yushuai Liu, Yu Su, Yunyun Ma, and Jinbo Wang

      Read more
      This site uses encryption for transmitting your passwords. ratmilwebsolutions.com