Open Science Research Excellence

Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 30677


Select areas to restrict search in scientific publication database:
10000687
Survey on Arabic Sentiment Analysis in Twitter
Abstract:
Large-scale data stream analysis has become one of the important business and research priorities lately. Social networks like Twitter and other micro-blogging platforms hold an enormous amount of data that is large in volume, velocity and variety. Extracting valuable information and trends out of these data would aid in a better understanding and decision-making. Multiple analysis techniques are deployed for English content. Moreover, one of the languages that produce a large amount of data over social networks and is least analyzed is the Arabic language. The proposed paper is a survey on the research efforts to analyze the Arabic content in Twitter focusing on the tools and methods used to extract the sentiments for the Arabic content on Twitter.
Digital Object Identifier (DOI):

References:

[1] J. Gantz and D. Reinsel, "Digital Universe Study: Extracting Value from Chaos," EMC2, June 2011. (Online). Available: Internet: http://www.emc.com/leadership/programs/digital-universe.htm (Accessed 6 Nov 2014).
[2] "The 2011 IDC Digital Universe study sponsored by EMC," (Online). Available: http://www.emc.com/collateral/about/news/idc-emc-digital-universe-2011-infographic.pdf(Accessed 6 Nov 2014).
[3] S. Sagiroglu and a. D.Sinanc. "Big data: A review," in Proc. CTS, 2013, pp. 42 – 47.
[4] "Social Media Usage in Middle East – Statistics and Trends (Infographic)," Go-Gulf, 4 Jun 2013. (Online). Available: http://www.go-gulf.com/blog/social-media-middle-east (Accessed 6 Nov 2014).
[5] B. Liu. (2012, Apr 22). Sentiment Analysis and Opinion Mining, (1st edition). (On-line). Available: http://www.cs.uic.edu/~liub/FBS/SentimentAnalysis-and-OpinionMining.pdf (Des 22, 2014]).
[6] "About," Twitter, (Online). Available: https://about.twitter.com/what-is-twitter. (Accessed 6 Nov 2014).
[7] J. Akaichi. "Social Networks' Facebook' Statutes Updates Mining for Sentiment Classification," in Porc. SOCIALCOM, 2013, pp. 886 - 891.
[8] R. Khasawneh, H. Wahsheh, M. Al Kabi and I. Aismadi. "Sentiment analysis of arabic social media content: a comparative study," in Porc. ICITST, 2013, pp. 101 - 106.
[9] M. Itani, B. A. U. B. L. Math. &Comput. Sci. Dept., L. Hamandi, R. Zantout and I. Elkabani. "Classifying sentiment in arabic social networks: Naïve search versus Naïve bayes," in Porc. ACTEA, 2012, pp. 192 - 197.
[10] A. Mountassir, M. 5. U. R. M. ALBIRONI Res. Team, H. Benbrahim and I. Berrada. "Some methods to address the problem of unbalanced sentiment classification in an arabic context," in Porc. CIST, 2012, pp. 43 - 48.
[11] M. Al-Kabi, Z. J. Zarqa Univ., N. Abdulla and M. Al-Ayyoub. "An analytical study of Arabic sentiments: Maktoob case study," in Porc. ICITST, 2013, pp. 89 - 94.
[12] J. Varlack. "What are Blogs?," MedNews Blog, 2 March 2009 . (Online). Available: http://www.mednet-tech.com/newsletter/blogs/what-are-blogs. (Accessed 6 Nov 2014).
[13] A. Shoukry and a. A. Rafea. "Sentence Level Arabic Sentiment Analysis," in Proc. CTS, 2012, pp. 546 – 550.
[14] N. Abdulla, N. Ahmed, M. Shehab and a. M. Al-Ayyoub. "Arabic Sentiment Analysis: Lexicon-Based and Corpus-Based," in Proc. AEECT, 2013, pp. 1 – 6.
[15] S. Ahmed and G. Qadah. "Key Issues in Conducting Sentiment Analysis on Arabic Social Media Text," in Porc. IIT, 2013, pp. 72 – 77.
[16] S. El-Beltagy and A. Ali. "Open Issues in the Sentiment Analysis of Arabic," in Porc. IIT, 2013, pp. 215-220.
[17] M. Abdul-Mageed, S. K¨ubler and a. M. Diab. "SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media," in Proc. WASSA, 2012, pp. 19-28.
[18] J. Salamah and a. A. Elkhlifi. "Microblogging Opinion Mining Approach for Kuwaiti Dialect," in Proc. ICCTIM, Dubai, 2014.
[19] S. Al-Osaimi and a. K. Badruddin. "Role of Emotion icons in Sentiment classification of Arabic Tweets," in Porc. MEDES '14, 2014, pp.167-171.
[20] R. Duwairi, R. Marji, N. Sha'ban and S. Rushaidat. "Sentiment Analysis in Arabic Tweets," in Porc. ICICS, 2014, pp. 1 - 6.
[21] L. Albraheem and a. H. Al-Khalifa. "Exploring the problems of Sentiment Analysis in Informal," in Proc. IIWAS '12, 2012, pp. 415-418.
Vol:14 No:09 2020Vol:14 No:08 2020Vol:14 No:07 2020Vol:14 No:06 2020Vol:14 No:05 2020Vol:14 No:04 2020Vol:14 No:03 2020Vol:14 No:02 2020Vol:14 No:01 2020
Vol:13 No:12 2019Vol:13 No:11 2019Vol:13 No:10 2019Vol:13 No:09 2019Vol:13 No:08 2019Vol:13 No:07 2019Vol:13 No:06 2019Vol:13 No:05 2019Vol:13 No:04 2019Vol:13 No:03 2019Vol:13 No:02 2019Vol:13 No:01 2019
Vol:12 No:12 2018Vol:12 No:11 2018Vol:12 No:10 2018Vol:12 No:09 2018Vol:12 No:08 2018Vol:12 No:07 2018Vol:12 No:06 2018Vol:12 No:05 2018Vol:12 No:04 2018Vol:12 No:03 2018Vol:12 No:02 2018Vol:12 No:01 2018
Vol:11 No:12 2017Vol:11 No:11 2017Vol:11 No:10 2017Vol:11 No:09 2017Vol:11 No:08 2017Vol:11 No:07 2017Vol:11 No:06 2017Vol:11 No:05 2017Vol:11 No:04 2017Vol:11 No:03 2017Vol:11 No:02 2017Vol:11 No:01 2017
Vol:10 No:12 2016Vol:10 No:11 2016Vol:10 No:10 2016Vol:10 No:09 2016Vol:10 No:08 2016Vol:10 No:07 2016Vol:10 No:06 2016Vol:10 No:05 2016Vol:10 No:04 2016Vol:10 No:03 2016Vol:10 No:02 2016Vol:10 No:01 2016
Vol:9 No:12 2015Vol:9 No:11 2015Vol:9 No:10 2015Vol:9 No:09 2015Vol:9 No:08 2015Vol:9 No:07 2015Vol:9 No:06 2015Vol:9 No:05 2015Vol:9 No:04 2015Vol:9 No:03 2015Vol:9 No:02 2015Vol:9 No:01 2015
Vol:8 No:12 2014Vol:8 No:11 2014Vol:8 No:10 2014Vol:8 No:09 2014Vol:8 No:08 2014Vol:8 No:07 2014Vol:8 No:06 2014Vol:8 No:05 2014Vol:8 No:04 2014Vol:8 No:03 2014Vol:8 No:02 2014Vol:8 No:01 2014
Vol:7 No:12 2013Vol:7 No:11 2013Vol:7 No:10 2013Vol:7 No:09 2013Vol:7 No:08 2013Vol:7 No:07 2013Vol:7 No:06 2013Vol:7 No:05 2013Vol:7 No:04 2013Vol:7 No:03 2013Vol:7 No:02 2013Vol:7 No:01 2013
Vol:6 No:12 2012Vol:6 No:11 2012Vol:6 No:10 2012Vol:6 No:09 2012Vol:6 No:08 2012Vol:6 No:07 2012Vol:6 No:06 2012Vol:6 No:05 2012Vol:6 No:04 2012Vol:6 No:03 2012Vol:6 No:02 2012Vol:6 No:01 2012
Vol:5 No:12 2011Vol:5 No:11 2011Vol:5 No:10 2011Vol:5 No:09 2011Vol:5 No:08 2011Vol:5 No:07 2011Vol:5 No:06 2011Vol:5 No:05 2011Vol:5 No:04 2011Vol:5 No:03 2011Vol:5 No:02 2011Vol:5 No:01 2011
Vol:4 No:12 2010Vol:4 No:11 2010Vol:4 No:10 2010Vol:4 No:09 2010Vol:4 No:08 2010Vol:4 No:07 2010Vol:4 No:06 2010Vol:4 No:05 2010Vol:4 No:04 2010Vol:4 No:03 2010Vol:4 No:02 2010Vol:4 No:01 2010
Vol:3 No:12 2009Vol:3 No:11 2009Vol:3 No:10 2009Vol:3 No:09 2009Vol:3 No:08 2009Vol:3 No:07 2009Vol:3 No:06 2009Vol:3 No:05 2009Vol:3 No:04 2009Vol:3 No:03 2009Vol:3 No:02 2009Vol:3 No:01 2009
Vol:2 No:12 2008Vol:2 No:11 2008Vol:2 No:10 2008Vol:2 No:09 2008Vol:2 No:08 2008Vol:2 No:07 2008Vol:2 No:06 2008Vol:2 No:05 2008Vol:2 No:04 2008Vol:2 No:03 2008Vol:2 No:02 2008Vol:2 No:01 2008
Vol:1 No:12 2007Vol:1 No:11 2007Vol:1 No:10 2007Vol:1 No:09 2007Vol:1 No:08 2007Vol:1 No:07 2007Vol:1 No:06 2007Vol:1 No:05 2007Vol:1 No:04 2007Vol:1 No:03 2007Vol:1 No:02 2007Vol:1 No:01 2007