The article discusses the artistic project Hypertype, created by Mark Webster, which premiered in London in November 2022. It emphasizes the project's focus on using AI to analyze emotions in text, prompting introspection rather than dogma. The work is part of a larger forthcoming book, 'Hyper & Cosmic,' which will document Webster's recent creations involving language. The author reflects on how language has influenced his thinking and the evolving relationship between human interpretation and machine-generated content through emotional analysis.
What I am trying to achieve is a means for transformation of one media that is manipulative of one's attention in order to instil dogma, to another that is manipulative of one's attention in order to encourage introspection.
In a nutshell, Hypertype uses text emotion and sentiment analysis data as its main content. This content is given form through the organisation of words, typographic signs, letters and symbols.
The project emerged from a fundamental question: How can machines analyse and classify emotional content in text? That was the beginning of what became a long and sustained interest in a particular field of artificial intelligence.
While current machine learning models like recursive neural tensor networks (RNTN) and LSTM can extract semantic relations, my focus was on how language shapes thinking and meaning.
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