Florida International University
Shekoofeh Mokhtari is a Ph.D. candidate at School of Computing and Information Science at Florida International University, co-advised by Dr. Tao Li and Dr. Ning Xie. She received a B.SC. in Computer Science at University of Isfahan, Iran in 2010. Shekoofeh’s research interests lie in natural language processing, recommendation system, and neural networks. During her Ph.D. study, she did one summer internship at IPsoft in 2016 and one summer internships at Microsoft in 2017.
As the web evolves even faster than expected, the exponential growth of data becomes overwhelming. Textual data is being generated at an ever-increasing pace via emails, documents on the web, tweets, online user reviews, blogs, and so on. As the amount of unstructured text data grows, so does the need for intelligently processing and understanding it. My overall research goal is to develop learning models that can automatically induce representations of human language to solve higher level language tasks.
I hereby propose to study how to represent the unstructured text data and how to model it with deep learning models in different applications such as sequence tagging, sentiment analysis, etc.