What is Multidimensional Scaling? Multidimensional Scaling (MDS) is a dimensionality reduction technique that is useful for exploratory data visualization. Some other popular dimensionality reduction techniques include Principle Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE). Given a similarity matrix (e.g. a distance matrix), MDS projects the data points into an N-dimensional space while minimizing the amount of similarity information lost. In the ideal case, the closer the projected points are to one another, the more similar the are while the farther apart they are, the less similar they are.

A continuation of a sentiment analysis of child language acquisition data using the Kuczaj Corpus from the CHILDES database.

A sentiment analysis of child language acquisition data using the Kuczaj Corpus from the CHILDES database that I did for my final visualization project for CS 632.