Affectional Ontology and Multimedia Dataset for Sentiment Analysis

Author:

Abaalkhail Rana,Alzamzami Fatimah,Aloufi Samah,Alharthi Rajwa,Saddik Abdulmotaleb El

Publisher

Springer International Publishing

Reference27 articles.

1. Abaalkhail, R., Guthier, B., Alharthi, R., El Saddik, A.: Survey on ontologies for affective states and their influences. Semant. Web, 1–18 (2016). https://doi.org/10.3233/SW-170270

2. Alharthi, R., Guthier, B., Guertin, C., El Saddik, A.: A dataset for psychological human needs detection from social networks. IEEE Access 5, 9109–9117 (2017). https://doi.org/10.1109/ACCESS.2017.2706084

3. Jurafsky, D., Martin, J.H., Lexicons for sentiment and affect extraction. In: Speech and Language Processing, pp. 326–344. Pearson London (2014). https://doi.org/10.1162/089120100750105975

4. Cowie, R., Douglas-Cowie, E., Apolloni, B., Taylor, J., Romano, A., Fellenz, W., et al.: What a neural net needs to know about emotion words. Comput. Intell. Appl. 404, 5311–5316 (1999)

5. Davidov, D., Tsur, O., Rappoport, A.: Enhanced sentiment learning using Twitter hashtags and smileys. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp. 241–249. Association for Computational Linguistics (2010)

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