Corpus ID: 16733679

Participatory Art Museum: Collecting and Modeling Crowd Opinions

  title={Participatory Art Museum: Collecting and Modeling Crowd Opinions},
  author={Xiaoyu Zeng and Ruohan Zhang},
  • Xiaoyu Zeng, Ruohan Zhang
  • Published in AAAI 2017
  • Computer Science
  • We collect public opinions on museum artworks using online crowdsourcing techniques. We ask two research questions. First, do crowd opinions on artworks differ from expert interpretations? Second, how can museum manage large amount of crowd opinions, such that users can efficiently retrieve useful information? We address these questions through opinion modeling via semantic embedding and dimension reduction. 

    Figures and Topics from this paper

    Explore Further: Topics Discussed in This Paper


    Crowdsourcing our Cultural Heritage
    • 51
    Running Experiments on Amazon Mechanical Turk
    • 3,576
    • PDF
    Distributed Representations of Sentences and Documents
    • 5,711
    • PDF
    Distributed Representations of Words and Phrases and their Compositionality
    • 20,792
    • PDF
    Accelerating t-SNE using tree-based algorithms
    • 1,353
    • PDF
    From Audiences to Users: Changing Art Galleries and Museums Together
    • London: NESTA, Clore Leadership Programme.
    • 2010
    The Participatory Museum
    • 493
    The Participatory Museum. Museum 2
    • The Participatory Museum. Museum 2
    • 2010