Williams is an expert in natural language processing and text analysis. His research focuses on using algorithms and statistical theory to analyze text. This work has been applied to create tools that can discern fake accounts and bots on social media, identify when and where political protests are happening and even judge a person’s caloric intake by looking at the food and physical activities they’re tweeting about.
Williams draws on a background in mathematics, physics, data science to analyze the innate frameworks governing language production. Much of his current work in language processing and linguistics has been applied to social science to help understand things like the sentiment expressed in a text, political movements and how robots are being used for marketing agents on social media.
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