COMP 152-10 Natural Language Processing

An enormous amount of text (news articles, weblog, tweets) is created every day. Natural language processing transforms text into presumably useful data structures, enabling many applications such as real-time event tracking and question answering. In this course, we will study the mathematics and algorithms in NLP to better understand how they do what they do. We will cover a wide range of text analysis methods, include word level (topic and sentiment analysis), syntactical (grammars and parsing), semantic (meanings of words and phrases), and discourse (pronoun resolution and text structure). We will cover both rule-base systems and statistical models. We will code several algorithms applying what we learn in hands-on projects. We will come away with a deeper understanding of how text is processed by a computer.