[1] S. Bao, S. Xu, L. Zhang, R. Yan, Z. Su, D. Han, Y. Yu, Joint Emotion-topic modeling for social affective text mining, in: The 9th IEEE International Conference on Data Mining, 2009, pp. 699–704.
[2] F.R. Chaumartin, UPAR7: a knowledge-based system for headline sentiment tagging, in: The 4th International Workshop on Semantic Evaluations, ACL, 2007, pp. 422–425.
[3] E. Cambria, E. Hussain, C. Havasi, C. Eckl, Affective space: blending common sense and affective knowledge to perform emotive reasoning, Proceedings of the 1st Workshop on Opinion Mining and Sentiment Analysis (WOMSA), 2009.
[4] Das, D., and Bandyopadhyay, S.: Sentence Level Emotion Tagging on Blog and News Corpora. J. Intelligent System. 19(2), 125-134 (2010).
[5] Das, D., and Bandyopadhyay, S.: Word to Sentence Level Emotion Tagging for Bengali Blogs. In: ACL-IJCNL.pp. 149-152. Singapore (2009b).
[6] Ekman, P.: An Argument for Basic Emotions. Cognition and Emotion. 6, 169–200 (1992).
[7] Ekbal, A., and Bandyopadhyay., S.: Web-based Bengali News Corpus for Lexicon Development and POS Tagging. POLIBITS. 37, 20-29(2008).
[8] P. Katz, M. Singleton, R. Wicentowski, Swat-MP: the semeval-2007 systems for task 5 and task 14, in: The 4th International Workshop on Semantic Evaluations, ACL, 2007, pp. 308–313.
[9] A. Kolya, D. Das, A. Ekbal, S. Bandyopadhyay, Identifying event-sentiment association using lexical equivalence and co-reference approaches, in: Workshop on Relational Models of Semantics Collocated with ACL, 2011, pp. 19–27.
[10] Lin, K., H,-Y., Yang, C., and Chen, H.,-H.: What Emotions do News Articles Trigger in Their Readers? In: SIGIR, pp.733-734(2007).
[11] Neviarouskaya, A., Prendinger, H., and Ishizuka, M.: Narrowing the Social Gap among People Involved in Global Dialog: Automatic Emotion Detection in Blog Posts, In: Intl. Conf on Weblogs and Social Media, ICWSM.pp. 293-294(2007).
[12] Peter, D., Turney.: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In: 40th Annual Meeting of the Association for Computational Linguistics (ACL). pp. 417- 424(2002).
[13] C. Strapparava, R. Mihalcea, Semeval-2007 task 14: affective text, in: The 4th International Workshop on Semantic Evaluations, ACL, 2007, pp. 70–74.
[14] Vincent, B., Xu, L., Chesley, P., and Srhari, R., K.: Using Verbs and Adjectives to automatically classify blog sentiment. In: Symposium on Computational approaches to analyzing Weblogs, AAAI-CAAW. pp-27-29 (2006).
[15] Zhang, Y., Li, Z., Ren, F., and Kuroiwa, S.: A preliminary research of Chinese Emotion classification model. IJCSNS, 8(11), 127-132(2008).