I-could-have-written-that: Difference between revisions

Revision as of 23:46, 17 May 2016

I-could-have-written-that
Creator	Manetta Berends
Year	2016
Bio	Manetta Berends (1989) has been educated as a graphic designer at ArtEZ, Arnhem before starting her master-education at the Piet Zwart Institute (PZI), Rotterdam. From an interest in linguistics, code and a research based design practice, she currently works on the systemization of language in the field of natural language processing and text mining.
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Website	http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/

The large amount of digital text available these days, is presented as the problem that text mining can solve. Written language from social media users, product reviews and even essays from students are turned into data. Text mining is excecuted with untenable enthusiasm and a strong belief in the reading abilities of a text mining system. However, an actual text mining process is messy and chaotic. Altough the eventual results are presented as being read or mined from the text, they show more similarities to something that is written. This research project shows how the software, workprocess and vocabulary construct text mining results.

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 |Creator=Manetta Berends
 |Date=2016
-|Bio=Manetta Berends (1989, NL) has been educated as a graphic designer at the Artez art academy in Arnhem before starting her master-education at the Piet Zwart Institute (PZI), Rotterdam. From the Artez academy she acquired an interest in typography and research based design, which she expanded on in her research projects at the PZI, where she mainly focused on the systemization of language in the field of natural language processing and text mining.
+|Bio=Manetta Berends (1989) has been educated as a graphic designer at ArtEZ, Arnhem before starting her master-education at the Piet Zwart Institute (PZI), Rotterdam. From an interest in linguistics, code and a research based design practice, she currently works on the systemization of language in the field of natural language processing and text mining.
 |Thumbnail=I-could-have-written-that these-are-the-words mb.png
 |Website=http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/
-|Description=Text mining algorithms are the hidden actors on the internet, that monitor social media platforms, are used in national security programs, and are starting to review essays written by students in school. Their results seem to be read directly from the data, but this research project shows that text mining results are not read nor mined, they are constructed. The lack of fixed standards, the effect of the metaphor of raw data, and the way in which the term mining disregards the human aspect in the creation of results, question if results are actually read from their source. With these three research topics, this project reveals the writerly nature of this technology.
+|Description=The large amount of digital text available these days, is presented as the problem that text mining can solve. Written language from social media users, product reviews and even essays from students are turned into data. Text mining is excecuted with untenable enthusiasm and a strong belief in the reading abilities of a text mining system. However, an actual text mining process is messy and chaotic. Altough the eventual results are presented as being read or mined from the text, they show more similarities to something that is written. This research project shows how the software, workprocess and vocabulary construct text mining results.
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