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This repository documents my projects and learning from a class I took at NYU ITP on programming strategies and techniques for the procedural analysis and generation of text-based data. The course covered topics like text analysis, automated text production, text visualization, and building Twitter bots.
An exploration of constrained writing techniques, focusing on how limitations can drive creativity in text generation.
Learning and applying regular expressions to manipulate and analyze text data efficiently.
An introduction to using data libraries and APIs for text data analysis and manipulation.
Techniques for counting and analyzing word frequency in text datasets.
Building and deploying bots, with a focus on automation and interaction in social media environments.
Using Markov chains for generating text based on statistical properties of input data.
Creating and using context-free grammars to generate complex, rule-based text.
Brainstorming and outlining potential final projects based on the skills learned throughout the course.
The proposal for my final project, including objectives, methodologies, and expected outcomes.
A special project focused on generating and sharing acts of kindness during the Christmas season.