Project Description: Text is a common medium in all social sciences, offering insights into human behavior. However, text is complex and encodes many different aspects at the same time. In order to analyze text for social science projects, we need to develop the right tools, based on natural language processing. These tools needs to scale to large amounts of text, allow for exploration and predictive modeling, and allow a multitude of analyses (classification, regression, clustering, etc). Neural-network approaches to NLP have lately demonstrated all of these properties, but have rarely been applied to social science problems. The goal of this project is to establish a baseline in tools and techniques that can be widely applied, and that can form the basis of future research and training.
Responsibilities: The candidate would work predominantly on research, i.e., the implementation and testing of model architectures, data mining and preparation, and dissemination of results. Teaching opportunities (for additional salary) are available.
How to apply:
Please mention NLP People as a source when applying
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