Dependency-based semantic parsing for concept-level text analysis (2014)
Presentation / Conference Contribution
Poria, S., Agarwal, B., Gelbukh, A., Hussain, A., & Howard, N. (2014, April). Dependency-based semantic parsing for concept-level text analysis. Presented at 15th International Conference, CICLing 2014, Kathmandu, Nepal

Concept-level text analysis is superior to word-level analysis as it preserves the semantics associated with multi-word expressions. It offers a better understanding of text and helps to significantly increase the accuracy of many text mining tasks.... Read More about Dependency-based semantic parsing for concept-level text analysis.

Dependency tree-based rules for concept-level aspect-based sentiment analysis (2014)
Presentation / Conference Contribution
Poria, S., Ofek, N., Gelbukh, A., Hussain, A., & Rokach, L. (2014, May). Dependency tree-based rules for concept-level aspect-based sentiment analysis. Presented at SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece

Over the last few years, the way people express their opinions has changed dramatically with the progress of social networks, web communities, blogs, wikis, and other online collaborative media. Now, people buy a product and express their opinion in... Read More about Dependency tree-based rules for concept-level aspect-based sentiment analysis.

Affective neural networks and cognitive learning systems for big data analysis (2014)
Journal Article
Hussain, A., Cambria, E., Schuller, B., & Howard, N. (2014). Affective neural networks and cognitive learning systems for big data analysis. Neural Networks, 58, 1-3. https://doi.org/10.1016/j.neunet.2014.07.010

Blind image deconvolution using space-variant neural network approach (2005)
Journal Article
Cheema, T., Qureshi, I., & Hussain, A. (2005). Blind image deconvolution using space-variant neural network approach. Electronics Letters, 41(6), 308-309

A novel space-variant neural network based on an autoregressive moving average process is proposed for blind image deconvolution. An extended cost function motivated by human visual perception is developed simultaneously to identify the blur and to r... Read More about Blind image deconvolution using space-variant neural network approach.