This project was completed as a intern opportunity with HPCC Systems in 2016. Curious about projects we are offering for future internships? Take a look at our Ideas List.
Find out about the HPCC Systems Summer Internship Program.The project proposal application period for 2020 summer internships is now closed. Check back in the Fall for details about applying to join our 2021 program.
Project Description
SVD has many applications. For example, SVD could be applied to natural language processing for latent semantic analysis (LSA). LSA starts with a matrix whose rows represent words, columns represent documents, and matrix values (elements) are counts of the word in the document. It then applies SVD to the input matrix, and uses a subset of most significant singular vectors and corresponding singular values to map words and documents into a new space, called ‘latent semantic space’, where documents are placed near each other measured by co-occurrence of words, even if those words never co-occurred in the training corpus.
...