CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Towards Discovering the Sentiment Holder in Arabic Text

by Mohammed Dahab, Salma Al Asmari
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 16
Year of Publication: 2015
Authors: Mohammed Dahab, Salma Al Asmari
10.5120/19621-1301

Mohammed Dahab, Salma Al Asmari . Towards Discovering the Sentiment Holder in Arabic Text. International Journal of Computer Applications. 111, 16 ( February 2015), 12-18. DOI=10.5120/19621-1301

@article{ 10.5120/19621-1301,
author = { Mohammed Dahab, Salma Al Asmari },
title = { Towards Discovering the Sentiment Holder in Arabic Text },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 16 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number16/19621-1301/ },
doi = { 10.5120/19621-1301 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:03.498907+05:30
%A Mohammed Dahab
%A Salma Al Asmari
%T Towards Discovering the Sentiment Holder in Arabic Text
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 16
%P 12-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sentiment analysis is consider with extracting specific subjective information from reliable amounts of text. Sentiment analysis holder recognition is approach that has not been considered yet in Arabic Language. This approach essentially requires deep understanding of sentences structures. This paper presents survey for the sentiment analysis operations, classifications and summarization. And proposed sentiment holder Algorithm for extract the holder in Arabic sentences.

References
  1. Taysir Hassan A. Soliman, M. Ali M. Abdel Rahman Hedar, M. M. Doss, "MINING SOCIAL NETWORKS' ARABIC SLANG COMMENTS". In Proceedings of IADIS European Conference on Data Mining 2013 (ECDM'13), 22 – 24 July, Prague,Czech Republic
  2. Elarnaoty M. A Machine Learning Approach for Opinion Holder Extraction in Arabic Language. International Journal of Artificial Intelligence & Applications. 2012;3(2):45-63.
  3. Mariana Vunvulea and Ioana Maria Sima. ©2013 IEEE "A Rule-based, Domain Independent Approach for Opinion and Holder Identification"
  4. Aldo Gangemi,Valentina Presutti a":nd Diego Reforgiato Recupero, "Frame-Based Detection of Opinion Holders and Topics: A Model and a Tool", IEEE Computational intelligence magazine | February 2014
  5. Mohammed Korayem, David Crandall, and Muhammad Abdul-Mageed, "Subjectivity and Sentiment Analysis of Arabic: A Survey"
  6. Zhang Y, Long F, Bin L. Identifying Opinion Sentences and Opinion Holders in Internet Public Opinion. 2012:1668-71.
  7. Boyd dm, Ellison NB. Social Network Sites: Definition, History, and Scholarship. Journal of Computer-Mediated Communication. 2007;13(1):210-30.
  8. Bing Liu, Sentiment Analysis and Opinion Mining Book. April 22, 2012
  9. Hsinchun Chen and David Zimbra, AI and Opinion Mining, University of Arizona ©2010 IEEE intelligent systems. Published by the IEEE Computer Society
  10. Hsinchun Chen, AI and Opinion Mining, Part 2 , University of Arizona, ©2010 IEEE intelligent systems Published by the IEEE Computer Society.
  11. Erik Cambria, Björn Schuller, Yunqing Xia, Catherine Havasi, New Avenues in Opinion Mining and Sentiment Analysis. © 2013 IEEE . Published by the IEEE Computer Society.
  12. Bo Pang and Lillian Le, "Opinion mining and sentiment analysis" . 2008 Bo Pang and Lillian Lee. The a pre-publication version.
  13. T. Wilson, J. Wiebe, and P. Hoffmann. "Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing", pages 347–354. Association for Computational Linguistics, 2005.
  14. Jerome R. Bellegarda," Part-of-Speech Tagging by Latent Analogy" , IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. 4, NO. 6, DECEMBER 2010
Index Terms

Computer Science
Information Sciences

Keywords

Sentiment analysis Holder Opinion mining Arabic.

Powered by PhDFocusTM