Computational Aesthetics of the Collective Affective Dynamics of IMDB Movie Reviews

Anna Lunterová, Ondrej Spetko, George Palamas

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Abstrakt

This paper proposes an approach to visualising affective metadata from movie reviews on IMDB. First, a natural language processing (NLP) method is applied for automatic topic modelling and sentiment analysis using contextual valence and subjectivity as measures of emotional expression intensity. A t-Distributed Stochastic Neighbour Embedding (t-SNE) was used to project this meta-data into a compact 2D representation. A cluster analysis was used to extract the spatial dynamics of this representation, which were mapped into a generative visualisation. Each generated visual 'signature' represented the emotional dynamics of a single movie extracted from 150 reviews, for a total of 20 movies. Based on the visualised metadata, a qualitative evaluation of 79 participants demonstrated the capacity to communicate affective metaphors, as well as a robust sense of perceptual consistency. Furthermore, we assert that the generative visualisation of data shows a nuanced expression of an aesthetic approach instead of an abstract articulation of an idea.
OriginalsprogEngelsk
TitelProceedings of the 10th conference on Computation, Communication, Aesthetics, and X, : XCoAX 2022
RedaktørerMiguel Carvalhais, Mario Verdicchio, Luísa Ribas, André Rangel
Antal sider44
UdgivelsesstedCoimbra, Portugal
Forlagi2ADS
Publikationsdato1 jul. 2022
Sider26
Artikelnummer26
ISBN (Trykt)9789899049338
DOI
StatusUdgivet - 1 jul. 2022
Begivenhed10th Conference on Computation, Communication, Aesthetics & X

: 10th Conference on Computation, Communication, Aesthetics & X
- CONVENTO SÃO FRANCISCO, Coimbra, Portugal
Varighed: 6 aug. 20228 aug. 2022
Konferencens nummer: 10
https://xcoax.org/

Konference

Konference10th Conference on Computation, Communication, Aesthetics & X

Nummer10
LokationCONVENTO SÃO FRANCISCO
Land/OmrådePortugal
ByCoimbra
Periode06/08/202208/08/2022
Internetadresse

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