References
- Bogdan Batrinca, Philip C. Treleaven. 2015. Social media analytics: A survey of techniques, tools and platforms, AI Soc. 30 (1) 89-116. https://doi.org/10.1007/s00146-014-0549-4
- Seyed-Ali Bahrainian, Andreas Dengel, Sentiment analysis using sentiment features, in: 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) 3, IEEE, 2013,pp. 26-29.
- Ibrahim Abu Farha, Walid Magdy, Mazajak .2019. An online arabic sentiment analyser, in:Proceedings of the Fourth Arabic Natural Language Processing Workshop, pp. 192-198.
- Haq Nawaz, Tahir Ali, Ali Al-laith, Imran Ahmad, Sridevi Tharanidharan,Shamim Kamal AbdulNazar. 2018.Sentimental analysis of social media to find out customer opinion, in: InternationalConference on Intelligent.
- Alex Mircoli, A. Cucchiarelli, C. Diamantini, D. Potena. , 2017. Automatic emotional text annotation using facial expression analysis, in: CAiSE-Forum-DC,pp. 188-196.
- Walaa Medhat, Ahmed Hassan, Hoda Korashy.2014. Sentiment analysis algorithms and applications: A survey, Ain Shams Eng. J. 5 (4) 1093-1113. https://doi.org/10.1016/j.asej.2014.04.011
- Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida, Habib Ounelli. 2020. A review of sentiment analysis research in arabic language, Future Gener.Comput.
- Claudia Diamantini, Alex Mircoli, Domenico Potena, Emanuele Storti, Social information discovery enhanced by sentiment analysis techniques, Future Gener. Comput. Syst. 95 (2019) 816-828. https://doi.org/10.1016/j.future.2018.01.051
- Quazi Ishtiaque Mahmud, Asif Mohaimen, Md Saiful Islam, Marium-E-Jannat, "A Support Vector Machine mixed with statistical reasoning approach to predict movie success by analyzing public sentiments", IEEE-2017.
- Pak and P. Paroubek, "Twitter as a Corpus for Sentiment Analysis and Opinion Mining," in Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10). Valletta, Malta: European Language Resources Association (ELRA), May 2010.
- Giachanou and F. Crestani, "Like it or not: A survey of Twitter sentiment analysis methods," ACM Computing Surveys (CSUR), vol. 49,no. 2, pp. 28:1-28:41, Jun. 2016. https://doi.org/10.1145/2938640
- Esuli and F. Sebastiani, "Sentiwordnet: A publicly available lexical resource for opinion mining," in In Proceedings of the 5th Conference on Language Resources and Evaluation (LREC06), 2006, pp. 417-422.
- L. Hong, O. Dan, and B. D. Davison, "Predicting popular messages in twitter," in Proceedings of the 20th International Conference Companion on World Wide Web, ser. WWW '11. New York, NY, USA: ACM,2011, pp. 57-58.
- S. Asur and B. A. Huberman, "Predicting the future with social media," in Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01, ser.WI-IAT '10. Washington, DC, USA: IEEE Computer Society, 2010,pp. 492-499.
- X. Zhou, X. Tao, J. Yong, and Z. Yang, "Sentiment analysis on tweets for social events," in Computer Supported Cooperative Work in Design (CSCWD), 2013 IEEE 17th International Conference on, June 2013, pp. 557-562.
- Sriram, D. Fuhry, E. Demir, H. Ferhatosmanoglu, and M. Demirbas, "Short text classification in twitter to improve information filtering," in Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, ser. SIGIR '10. New York, NY, USA: ACM, 2010, pp. 841-842.