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CrowdSPIRE VAST2017

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Yali Bian edited this page Mar 13, 2017 · 3 revisions

We test the combination of VA with crowdsourcing with semantic interactions.

We tried a novel model to combine Visual analytics with crowdsourcing with semantic interaction.

Through case studies on three semantic interactions right now:

    1. Open Document
    1. Search Keywords
    1. Overlap Documents

Crowdsourcing could help VA find more latent relationships Crowdsourcing could help VA remove latent unrelated relationships even they share several entities, but with different things. Crowdsourcing could help find more analytics points (with more connected entities, more reasons).

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