Amin Mirlohi

AMIN MIRLOHI

Emerging Graduate Researcher

I am a Research Assistant at Toronto Met University, in the Laboratory for Systems, Software, and Semantics (LS3), as well as the Explanatory Journalism Impact and Uptake (XJO) project. My role in XJO focuses on building custom NLU models for a number of projects in framing and discourse analysis using IBM Watson. I have a working knowledge of Big Data, machine learning, and statistical models such as Supervised and Unsupervised Classification, Neural Networks, Deep Learning, Recurrent, and Convolutional Neural Networks.

The results of my research have been published in different journals and conferences such as Information Processing and Management (IP&M), IEEE/ACM Asonam, Springer Communications in Computer and Information Science, and AAAI Conference on Web and Social Media. In the XJO project, my focus is to design and develop a custom Watson model that detects news frames. To do so, I analyze various features of text content including categories, concepts, emotion, entities, sentiment, and semantic roles.