Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach

Author:

Agarwal Basant,Poria Soujanya,Mittal Namita,Gelbukh Alexander,Hussain Amir

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Reference45 articles.

1. Cambria E, Hussain A. Sentic album: content, concept, and context-based online personal photo management system. Cogn Comput. 2012;4(4):477–96.

2. Poria S, Cambria E, Hussain A, Huang G-B. Towards an intelligent framework for multimodal affective data analysis. Neural Netw. 2015;63:104–16.

3. Howard N, Cambria E. Intention awareness: improving upon situation awareness in human-centric environments. Hum Centric Comput Inf Sci. 2013;3(9):1–17.

4. Cambria E, Hussain A, Durrani T, Havasi C, Eckl C, Munro J. Sentic computing for patient centered applications. In: IEEE ICSP, Beijing; 2010. p. 1279–1282.

5. Cambria E, Hussain A, Havasi C, Eckl C, Munro J. Towards crowd validation of the UK national health service. In: ACM WebSci, Raleigh; 2010.

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