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LABS: Artificial Intelligence for Text Analysis
November 16, 2019 @ 10:30 AM - 1:00 PM$50
Artificial Intelligence (AI) is revolutionizing the way people interact with computers, in particular when it comes to language-based communication. Computers are now able to perform intelligent text processing tasks like translating documents into different languages, detecting the sentiment of emails, suggesting grammatical improvements to essays, and finding answers to fact-based questions in massive document databases. These tasks are examples of the research area known as natural language processing (NLP). NLP integrates knowledge across a variety of subjects including computer science, linguistics, mathematics, and cognitive science. In this workshop, students will be broadly introduced to NLP, learn what makes it so challenging, and discuss some real-world examples of its application. We’ll focus particularly on systems that categorize the content of a text by features like topic, emotional sentiment, and writing style. Students will be guided through a hands-on exercise that exemplifies the techniques that real software systems use for these analyses.
ABOUT THE SPEAKER
Dr. Melissa Roemmele is a Research Scientist at SDL in Los Angeles, working on interactive applications that use artificial intelligence to facilitate content understanding and creation. She obtained her PhD from the Department of Computer Science at University of Southern California. As a PhD student, she worked at the USC Institute for Creative Technologies, an interdisciplinary research center that unifies scientists and artists for the purpose of building immersive technologies. As part of her research there, she developed an application intended to help people write stories by automatically generating suggestions for story sentences. Her pursuit of artificial intelligence research originally came from studying social science, through which she became interested in modeling social science phenomena using computational methods. Before coming to USC, she completed a Bachelor’s degree in Psychology and Linguistics at Miami University and a Master’s degree in Computational Linguistics at Indiana University. She is passionate about bridging the gap between humanities and engineering disciplines, and helping to make computing more accessible and appealing to broad audiences.