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This project is available as an internship was completed as a intern opportunity with HPCC Systems this summer.Find out more about the HPCC Summer Internship Program.
Curious about other in 2016. Curious about projects we are currently 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 open. Please see our list of Available Projects. Contact the project mentor for more information and to discuss your ideas. You may suggest a project idea of your own but it must leverage HPCC Systems in some way. Contact us for support from an HPCC Systems mentor with experience in your chosen project area.

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.

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