• Pricing Opinion and Tastes: The Art Market Through Sentiment Analysis

    Author(s):
    Thierry Poibeau (see profile) , Léa Saint-Raymond
    Date:
    2020
    Group(s):
    DH2020
    Subject(s):
    Art, Markets, Economic history, Text data mining
    Item Type:
    Presentation
    Meeting Title:
    Digital Humanities Conference 2020
    Tag(s):
    sentiment analysis, Art market, Text analytics, Text and image
    Permanent URL:
    http://dx.doi.org/10.17613/f1rn-c986
    Abstract:
    Art market studies have long relied on econometrics to explain the prices of works through a series of variables, such as the dimensions of the work, its medium, its date, whether or not its creator is alive, etc. However, this quantitative analysis fails to measure the qualitative opinion on the work, that can be found in exhibition or auction catalogues. As a consequence, no evidence is made between the price of an artwork and the critical comments on the latter, even if it seems obvious that such a link exists. This lightning talk aims at filling this gap by introducing Natural Language Processing, and more specifically, sentiment analysis, into econometrics.
    Metadata:
    xml
    Published as:
    Conference proceeding     Show details
    Proceeding:
    Proceedings of Digital Humanities 2020
    Status:
    Published
    Last Updated:
    3 years ago
    License:
    All Rights Reserved
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