Tracking Change in Data-Driven Autobiography: Nicholas Felton’s Annual Reports, 2005–2014

Autor: Wojciech Drąg

Publikováno v: Acta Universitatis Wratislaviensis. Anglica Wratislaviensia, Vol 62, Iss 2, Pp 103-117 (2024)

This article examines Nicholas Felton’s self-tracking project titled Annual Reports, which he carried out from 2005 to 2014. In each instalment, the author offers a visually appealing presentation of a selection of data pertaining to specific aspec

Externí odkaz: https://doaj.org/article/f890ae45e16a4272b635dd84c6f73f98

A Dataset of Late 1990s and Early 2000s Web Banner Ads on Chinese-and English-language Web Pages

Autor: Richard Lewei Huang, Yufeng Zhao

Publikováno v: Journal of Open Humanities Data, Vol 10, Pp 3-3 (2024)

This dataset contains information about 22,915 banner advertisement images appearing on Chinese- and English-language web pages in the late 1990s and early 2000s archived on the Wayback Machine. For each ad image, the dataset provides information abo

Externí odkaz: https://doaj.org/article/482537aa0ebd4f0d8e98bde4729d2d51

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In the land of the Big Data: artistic invasions in the invisible

Autor: Luca Malavasi

Publikováno v: piano b, Vol 2, Iss 2, Pp 68-86 (2017)

The current engine of the “computer society” (Cardon) – Big Data and the software and the algorithms that compute and calculate them – is based on a principle of invisibility that, among other things, reconfigures the relationships between hu

Externí odkaz: https://doaj.org/article/870d0fa683b9433684b1d40bf30c19d9

Computational Aesthetics of the Collective Affective Dynamics of IMDB Movie Reviews

Autor: Lunterová, Anna, Spetko, Ondrej, Palamas, George

Publikováno v: Lunterová, A, Spetko, O & Palamas, G 2022, Computational Aesthetics of the Collective Affective Dynamics of IMDB Movie Reviews . in M Carvalhais, M Verdicchio, L Ribas & A Rangel (eds), Proceedings of the 10th conference on Computation, Communication, Aesthetics, and X, : XCoAX 2022 ., 26, i2ADS, Coimbra, Portugal, pp. 26, 10th Conference on Computation, Communication, Aesthetics & X, Coimbra, Portugal, 06/08/2022 . https://doi.org/10.24840/xCoAx_2022_91

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::01030b5ca4f9fe0a8cc40d2e4f509a02
https://vbn.aau.dk/da/publications/887fd0ab-0e3a-44a4-bdb8-8051bcf77155