This course is a survey of programming strategies and techniques for the procedural analysis and generation of text-based data. Topics include analyzing text based on its statistical properties, automated text production using probabilistic methods, and text visualization. Students will learn server-side and client-side JavaScript programming and build single-page web applications as well as bots for social media networks. Additionally, this course will critically investigate and explore open-source and commercial machine learning models for text and image generation. The course includes weekly homework coding exercises and an open-ended final project.
Computational Text from A to Z
March 31, 2026 Daniel Shiffman 4 Point, a2z, alexa, api, awesome, bots, chromeextension, code, coding, codingtrain, danshiffman, data, Elective, exploratory, Fall 2026, fun,, generativetext, Graduate, In-Person, javascript, love, machinelearning, markov, markovchains, ml, node, nodejs, p5, p5.js, poetry, programming, regex, shiffman, tensorflow, text, textanalysis, textgeneration, textual_analysis, twitter, twitterbot, voice 0
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