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Visualising Latent Semantic Spaces for Sense-Making of Natural Language Text

  • Ana Šemrov
  • Alan F. BlackwellEmail author
  • Advait Sarkar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10871)

Abstract

Latent Semantic Analysis is widely used for natural language processing, but is difficult to visualise and interpret. We present an interactive visualisation that enables the interpretation of latent semantic spaces. It combines a multi-dimensional scatterplot diagram with a novel clutter-reduction strategy based on hierarchical clustering. A study with 12 non-expert participants showed that our visualisation was significantly more usable than experimental alternatives, and helped users make better sense of the latent space.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Ana Šemrov
    • 1
  • Alan F. Blackwell
    • 1
    Email author
  • Advait Sarkar
    • 1
    • 2
  1. 1.Computer LaboratoryUniversity of CambridgeCambridgeUK
  2. 2.Microsoft ResearchCambridgeUK

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