Semantic Visualization for Spherical Representation

• Main Authors: LE, Tuan M. V., LAUW, Hady W.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: dimensionality reduction; semantic visualization; spherical semantic embedding; spherical space; generative model; L2-normalized vector; topic model; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/2250; https://ink.library.smu.edu.sg/context/sis_research/article/3250/viewcontent/kdd14.pdf
• Institution: Singapore Management University

Visualization of high-dimensional data such as text documents is widely applicable. The traditional means is to find an appropriate embedding of the high-dimensional representation in a low-dimensional visualizable space. As topic modeling is a useful form of dimensionality reduction that preserves...