Sebastian Ruder

My main research interests are at the intersection of natural language processing, machine learning, and deep learning. In the context of my research, I'm applying methods of these fields to cross-lingual sentiment analysis across different domains as well as aspect- and entity-based sentiment analysis. I'm interested in finding new algorithms and data sources to improve sentiment analysis systems that can be applied to other domains and tasks and adapting sentiment analysis systems to other languages by leveraging existing monolingual / bilingual data as well as generating new data.