Seed, Context-Free Generation and Twitter Bots

This project explores the topics of context-free generation, topic analysis and sentiment analysis. It focuses on work with Seed (an open-source procedural content generator) and extending its capabilities with, for example, conditional generation. Moreover, a real-world application of Seed's capabilities, combined with NLP machine learning backend for topic and sentiment analysis, is used for creation of a Twitter bot which is be able to participate in a debate and calm it down if it gets too heated.