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[1] GENEIVE ABDO. Like most Americans, u.s. muslims concerned about extremism in the name of Islam. volume Fact Tank. [2] Carlos Argueta, Fernando H Calderon, and Yi-Shin Chen. Multilingual emotion classifier using unsupervised pattern extraction from microblog data.Intelligent data analysis, 20(6):1477–1502, 2016. [3] A Ben Ze’ev. The subtlety of the emotion.Cambridge University Press, 2002. [4] Pew Research Center. Being Christian in western Europe. volume Religion PublicLife. [5] Elvis Saravia — Hsien-Chi Toby Liu — Yen-Hao Huang — Junlin Wu — Yi-ShinChen. Carer: Contextualized affect representations for emotion recognition.Empirical Methods in Natural Language Processing, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing:3687–3697, 2018. [6] Akshi Kumar ; Prakhar Dogra ; Vikrant Dabas. Emotion analysis of twitter using opinion mining. In2015 Eighth International Conference on Contemporary Comput-ing (IC3), pages 285–290. IEEE, 2015.64 [7] Dmitry Davidov, Oren Tsur, and Ari Rappoport. Enhanced sentiment learning using twitter hashtags and smileys. InProceedings of the 23rd international conference on computational linguistics: posters, pages 241–249. Association for ComputationalLinguistics, 2010. [8] Alec Go, Richa Bhayani, and Lei Huang. Twitter sentiment classification using distant supervision.CS224N Project Report, Stanford, 1(2009):12, 2009. [9] Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu. Unsupervised sentiment analysis with emotional signals. InProceedings of the 22nd international conference on World wide web, pages 607–618. ACM, 2013. [10] Osvaldo N. Oliveira Jr Diego R. Amancio-Leticia L. Mansur Sandra M. Alusio Le-andro B. dos Santos, Edilson A. Correa Jr. Enriching complex networks with word embeddings for detecting mild cognitive impairment from speech transcripts. Association for Computational Linguistics, pages 1284–1296, 2017. [11] R.N McCauley. Religion in mind: Cognitive perspectives in religion belief, ritual, and experience. InRitual, memory and emotion: Comparing two cognitive hypotheses. [12] SerkanAyvaz Nazanztrk. Sentiment analysis on Twitter: A text mining approach to the Syrian refugee crisis.Telematics and Informatics, 35:136–147, 2018. [13] Alvaro Ortigosa, Jos ́e M Mart ́ın, and Rosa M Carro. Sentiment analysis in Facebook and its application to e-learning.Computers in Human Behavior, 31:527–541, 2014. [14] Robert Plutchik. Emotion: Theory, research, and experience: Theories of emotion.Academic, 1(1), 1980.65 [15] Yi-Shin Chen Po-Chen Kuo. Automatic sarcasm detection through emotion reactions on social media platforms. 2017. [16] P.W Pruyser. A dynamic psychology of religion.Harper Row, 1967. [17] Francisco Rangel and Paolo Rosso. On the identification of emotions and authors gender in Facebook comments on the basis of their writing style. pages 4–6, 2013. [18] Mutua Kobia Semegnish Asfaw. Freedom of religion and belief–public statements and issues of the commission of the churches on international affairs. 7, number=,pages=, year=2017, publisher=World Council of Churches. [19] Duyu Tang, Bing Qin, Ting Liu, and Zhenghua Li. Learning sentence representation for emotion classification on microblogs. natural Language Processing and Chinese Computing, pages 212–223. Springer, 2013. [20] Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, and Amit P Sheth. Harnessingtwitter” big data” for automatic emotion identification. InPrivacy, Security, Risk and Trust (PASSAT), 2012 International Conference on and 2012 International Confernece on Social Computing (SocialCom), pages 587–592. IEEE, 2012. [21] Yaowei Wang, Yanghui Rao, Xueying Zhan, Huijun Chen, Maoquan Luo, and JianYin. Sentiment and emotion classification over noisy labels.Knowledge-Based Systems, 111:207–216, 2016. [22] Jichang Zhao, Li Dong, Junjie Wu, and Ke Xu. Moodlens: an emoticon-based sentiment analysis system for Chinese tweets. InProceedings of the 18th ACM SIGKDD66 international conference on Knowledge discovery and data mining, pages 1528–1531.ACM, 2012 |