User:Manetta/thesis/thesis-outline: Difference between revisions
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=== intro=== | === intro=== | ||
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* current focus: data-mining field (a data-fashion) | * current focus: data-mining field (a data-fashion) | ||
==hypothesis== | |||
The results of data-mining software are not mined, results are created. <br> | The results of data-mining software are not mined, results are created. <br> | ||
What elements do allow for algorithmic agreeability? | What elements do allow for algorithmic agreeability? | ||
== | ==project== | ||
<small>voice: accessible for a wider public </small> | |||
* | |||
problem formulations: | |||
* text processing | * terminology ('mining', 'data') | ||
* text-processing | |||
** from: able to check results with senses (OCR), to: intuition (data-mining) ''[what are the differences?]'' | ** from: able to check results with senses (OCR), to: intuition (data-mining) ''[what are the differences?]'' | ||
** parsing, how text is treated: as n-grams, chunks, bag-of-words, characters | ** parsing, how text is treated: as n-grams, chunks, bag-of-words, characters | ||
* data as autonomous entity | * use of wordclouds | ||
** data as autonomous entity; from: information, to: data science ''[what are the differences?]'' | |||
===case study objects=== | ===algorithmic agreeability case study objects=== | ||
* anthropomorphism: ' | * terminology & anthropomorphism: data 'mining' [[User:Manetta/i-could-have-written-that/from-mining-minerals-to-mining-data | (wiki-page)]] | ||
* anthropomorphism: 'machine learning' | * terminology & anthropomorphism: 'machine learning' | ||
* terminology: 'data' | |||
* wordclouds | * wordclouds | ||
==thesis== | |||
<small>voice: more technical? + theoretical</small> | |||
===theory=== | |||
* solutionism & techno optimism | |||
===algorithmic agreeability case study objects=== | |||
* workflow mining-software (eg. Pattern, Wecka) | * workflow mining-software (eg. Pattern, Wecka) | ||
** software workflow diagram | |||
** the use of mathematical graphs & dimensions | |||
Revision as of 12:38, 6 January 2016
outline
intro
- NLP, natural language processing
- current focus: data-mining field (a data-fashion)
hypothesis
The results of data-mining software are not mined, results are created.
What elements do allow for algorithmic agreeability?
project
voice: accessible for a wider public
problem formulations:
- terminology ('mining', 'data')
- text-processing
- from: able to check results with senses (OCR), to: intuition (data-mining) [what are the differences?]
- parsing, how text is treated: as n-grams, chunks, bag-of-words, characters
- use of wordclouds
- data as autonomous entity; from: information, to: data science [what are the differences?]
algorithmic agreeability case study objects
- terminology & anthropomorphism: data 'mining' (wiki-page)
- terminology & anthropomorphism: 'machine learning'
- terminology: 'data'
- wordclouds
thesis
voice: more technical? + theoretical
theory
- solutionism & techno optimism
algorithmic agreeability case study objects
- workflow mining-software (eg. Pattern, Wecka)
- software workflow diagram
- the use of mathematical graphs & dimensions
research material
→ filesystem interface, collecting research related material (+ about the workflow)
→ wikipage for 'i-could-have-written-that' (list of prototypes & inquiries)
→ little glossary
mining as ideology
* from mining minerals to mining data
anthropomorphism
* anthropomorphic qualities of a computer (?)
* the photographic apparatus → the data apparatus (annotations)
* Joseph's (Weizenbaum) questions on Computer Power and Human Reason
text processing
* semantic math: averaging polarity rates in Pattern (text mining software package)
* notes on wordclouds
* automatic reading machines; from encoding-decoding to constructed-truths
* index of WordNet 3.0 (2006)
data as autonomous entity
* knowledge driven by data - whenever i fire a linguist, the results improve
other
* (laughter) - it's embarrassing but these are the words
* call for a syntactic view; Florian Cramer & Benjamin Bratton (text)
* EUR PhD presentation 'Sentiment Analysis of Text Guided by Semantics and Structure' (13-11-2015)
* index of Roget's thesaurus (1805)
* comparing the classification of the word 'information' Thesaurus (1911) vs. WordNet 3.0 (2006)
annotations
- Alan Turing - Computing Machinery and Intelligence (1936)
- The Journal of Typographic Research - OCR-B: A Standardized Character for Optical Recognition this article (V1N2) (1967); → abstract
- Ted Nelson - Computer Lib & Dream Machines (1974);
- Joseph Weizenbaum - Computer Power and Human Reason (1976); → annotations
- Water J. Ong - Orality and Literacy (1982);
- Vilem Flusser - Towards a Philosophy of Photography (1983); → annotations
- Christiane Fellbaum - WordNet, an Electronic Lexical Database (1998);
- Charles Petzold - Code, the hidden languages and inner structures of computer hardware and software (2000); → annotations
- John Hopcroft, Rajeev Motwani, Jeffrey Ullman - Introduction to Automata Theory, Languages, and Computation (2001);
- James Gleick - The Information, a History, a Theory, a Flood (2008); → annotations
- Matthew Fuller - Software Studies. A lexicon (2008);
- Language, Florian Cramer; → annotations
- Algorithm, Andrew Goffey;
- Marissa Meyer - the physics of data, lecture (2009); → annotations
- Matthew Fuller & Andrew Goffey - Evil Media (2012); → annotations
- Antoinette Rouvroy - All Watched Over By Algorithms - Transmediale (Jan. 2015); → annotations
- Benjamin Bratton - Outing A.I., Beyond the Turing test (Feb. 2015) → annotations
- Ramon Amaro - Colossal Data and Black Futures, lecture (Okt. 2015); → annotations
- Benjamin Bratton - On A.I. and Cities : Platform Design, Algorithmic Perception, and Urban Geopolitics (Nov. 2015);
bibliography (five key texts)
- Language, Florian Cramer (2008); → annotations
- Antoinette Rouvroy - All Watched Over By Algorithms - Transmediale (Jan. 2015); → annotations
- The Journal of Typographic Research - OCR-B: A Standardized Character for Optical Recognition this article (V1N2) (1967); → abstract