Mahboobeh (Mabi) Harandi is a PhD student in the School of Information Studies (iSchool) at Syracuse University. She got her MSc in information systems from Norwegian University of Science and Technology where she was involved in the SmartMedia program and specialized in machine learning techniques and sentiment analysis over news articles. She did her MSc thesis at iSchool in Syracuse University.
Mabi is interested in studying human computer interaction (HCI) through human online activities (clicks), interviews, and surveys, by means of developing a system using Natural Language Processing (NLP), machine learning techniques and semantic web. Currently, she is working on the sentiment classification of presidential candidates’ Facebook posts and tweets.
Mabi likes reading, writing, singing, dancing, walking, swimming, and cooking.