Brown Corpus - Natural Language Processing with Pattern Recognition

As an end project for our pattern recognition class, my classmate Evin and I worked on using pattern recognition techniques: PCA (Principle Component Analysis), MDS (Multi-Dimensional Scaling), Heirarchical Clustering, and LDA (Linear Discriminant Analysis) along with natural language processing techniques - part-of-speech tagging - to analyze the Brown Corpus in an attempt to seperate and classify its books by genre.


You can read and download the report here.