แนวคิดในการสร้างและการใช้ประโยชน์ของ Sentiment Corpus
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C. Havasi, J. Alonso and R. Speer, “ConceptNet 3: a flexible, multilingual semantic network for common sense knowledge,” in recent advances in natural language processing, Philadelphia, PA: John Benjamins, Sep. 2007, pp. 27-29.
B. W. Schuller, E. Cambria, R. Bajpai and S. Poria, “SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives,” In COLING, Dec. 2016, pp. 2666-2677.
A. Hussain, C. Eckl, C. Havasi and E. Cambria, “AffectiveSpace: Blending common sense and affective knowledge to perform emotive reasoning,” WOMSA at CAEPIA, Seville, 2009, pp. 32-41.
A. Hussain, A. Livingstone and E. Cambria, “The hourglass of emotions. Cognitive behavioural systems,” 2012, pp. 144-157.
A. Bera, A. Massa, C. Gui, E. Cambria, L. Yap and P. Vij, (2017). SenticNet [Online]. Available: http://business.sentic.net
A. Hussain , C. Havasi , E. Cambria and R. Speer, “SenticNet: A Publicly Available Semantic Resource for Opinion Mining,” In AAAI fall symposium: commonsense knowledge, Vol. 10, No. 0, Nov. 2010, pp. 14-18.
A. Hussain , C. Havasi and E. Cambria, “SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis,” In FLAIRS conference , May. 2012, pp. 202-207.
D. Olsher, D. Rajagopal and E. Cambria, “SenticNet 3: a common and common-sense knowledge base for cognition-driven sentiment analysis,” In Twenty-eighth AAAI conference on artificial intelligence, June. 2014, pp. 1515-1521.
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