Volume 12 Number 5 (Sep. 2017)
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JCP 2017 Vol.12(5): 470-478 ISSN: 1796-203X
doi: 10.17706/jcp.12.5.470-478

Negation Handling in Sentiment Analysis at Sentence Level

Umar Farooq1, Hasan Mansoor2, Antoine Nongaillard3, Yacine Ouzrout1, Muhammad Abdul Qadir4
1DISP Laboratory, University Lumiere Lyon 2, Lyon, France.
2Department of Informatics and Mathematics, University Joseph Fourier Grenoble.
3Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL (SMAC), F-59000 Lille, France.
4Department of Computer Science, Capital University of Science and Technology, Islamabad, Pakistan.

Abstract—Sentiment analysis is an automatic way to determine that whether opinions of people about a subject are favorable or unfavorable. One of the most important sub tasks in sentiment analysis is to determine the sequence of words affected by negation. Most of the existing sentiment analysis systems used traditional methods based on static window and punctuation marks to determine the scope of negation. However, these methods do not offer satisfactory performance due to variability in the negation scope, inability to deal with linguistic features and improper word sense disambiguation. In this paper, we investigate the problem of identifying the scope of negation while determining the polarity of a sentence. We propose a negation handling method based on linguistic features which determine the effect of different types of negation. Experiment results show that the proposed method improves the accuracy of both negation scope identification and overall sentiment analysis.

Index Terms—Sentiment analysis, opinion mining, negation scope, negation handling.


Cite: Umar Farooq, Hasan Mansoor, Antoine Nongaillard, Yacine Ouzrout, Muhammad Abdul Qadir, "Negation Handling in Sentiment Analysis at Sentence Level," Journal of Computers vol. 12, no. 5, pp. 470-478, 2017.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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