User:Manetta/thesis/thesis-outline: Difference between revisions

From XPUB & Lens-Based wiki
No edit summary
 
(37 intermediate revisions by the same user not shown)
Line 1: Line 1:
=thesis outline=
<div style="width:100%;max-width:800px;">
=outline - i could have written that=


=== intro===
==intro==
* NLP, natural language processing
* current focus: data-mining field (a data-fashion)


===hypothesis===
===text analytics < > systemization of language===
The results of data-mining software are not mined, results are created. <br>
This text originates from an interest in the systemization of language that is needed for computer software to be able to 'understand' and process written language.  
What elements do allow for algorithmic agreeability?


===algorithmic agreeability===
===vocabulary===
* mining as ideology
* buzzwords (machine learning, big data, data mining) (ref to Florian Cramer)
** from: mining natural resources, to: data mining ''[what are the differences?]''
* metaphor (too much ???)
** 'data mining'?
* one of the five KDD steps
* 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
* data as autonomous entity
** from: information, to: data science ''[what are the differences?]''


===case study objects===
===problematic situation===
* anthropomorphism: 'data mining' [[User:Manetta/i-could-have-written-that/from-mining-minerals-to-mining-data | (wiki-page)]]
...
* anthropomorphism: 'machine learning'
* wordclouds
* workflow mining-software (eg. Pattern, Wecka)


=research material=
Text mining seems to be a rather brutal way to deal with the aim to process natural language into useful information. To reflect on this brutality, tracing back a longer tradition of natural language processing could be usefull. Hopefully this will be a way to create some distance to the hurricanes of data that are mainly known as 'big', 'raw' or 'mined' these days.
[http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/ &rarr; filesystem interface, collecting research related material] [[User:Manetta/i-could-have-written-that/filesystem-interface-related-material | (+ about the workflow)]]<br>
[[User:Manetta/i-could-have-written-that | &rarr; wikipage for 'i-could-have-written-that' (list of prototypes & inquiries)]] <br>
[[User:Manetta/i-could-have-written-that/little-glossary | &rarr; little glossary]]<br>


===mining as ideology===
===audience===
[[User:Manetta/i-could-have-written-that/from-mining-minerals-to-mining-data | * from mining minerals to mining data]]<br>
This thesis will aim for an audience that is interested in an alternative perspective on buzzwords like 'big data' and 'data-mining'. Also, this thesis will (hopefully!) offer a view from a computer-vision side: how software is written to understand the non-computer world of written text.


'''anthropomorphism'''
==hypothesis==
The results of data-mining software are not mined, results are constructed. <br>


[[User:Manetta/i-could-have-written-that/anthropomorphic-qualities | * anthropomorphic qualities of a computer (?)]]<br>
==chapter 1: on what basis? three settings to highlight differences in text analytical ideologies==
[[User:Manetta/i-could-have-written-that/the-data-apparatus | * the photographic apparatus &rarr; the data apparatus (annotations)]] <br>
* setting 1: PhD candidate's thesis defence, Faculty of Economics, Erasmus University Rotterdam
[http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/joseph-s_questions/joseph-s_questions.html * Joseph's (Weizenbaum) questions on Computer Power and Human Reason]<br>
* setting 2: Lyle Unger's TED Talk, World Well Being Project, Faculty of Psychology, University of Pennsylvania
* setting 3: Guy de Pauw's introduction on text mining software, CLiPS, Faculty of Arts & Philosophy, Computational Linguistics & Psycholinguistics department, University of Antwerp


===text processing===
==chapter 2: deriving information from written text &rarr; the material form of language==
[http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/semantic-math-averaging/semantic-math-averaging.html * semantic math: averaging polarity rates in Pattern (text mining software package)]<br>
* statistical text analytics is not 'read-only', it's writing
[[User:Manetta/i-could-have-written-that/wordclouds | * notes on wordclouds]]<br>
** to extract? &rarr; to derive
[http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/automatic-reading-machines/automatic-reading-machines.html * automatic reading machines; from encoding-decoding to constructed-truths]<br>
* written language as source material
[http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/wordnet-skeleton/wordnet-skeleton.html * index of WordNet 3.0 (2006)]<br>
** analogy to typography, dealing with the optical materiality of words/sentences/text
** text analytics dealing with the quantifiable and structural materiality of words/sentences/text
*** word-counts
*** word-order/structure
* what do these material analyses represent?
** key-value format (?)


===data as autonomous entity===
==chapter 3: information extraction / text categorization. diving into the software!==
[http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/knowlegde-driven-by-the-data/knowlegde-driven-by-the-data.html * knowledge driven by data - ''whenever i fire a linguist, the results improve'']<br>
* unsupervised
* supervised


===other===
[http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/i-am-sorry-but-these-are-the-words-laughter/i-am-sorry-but-these-are-the-words-laughter.html * (laughter) - ''it's embarrassing but these are the words'']<br>
[[User:Manetta/i-could-have-written-that/syntactic-view | * call for a syntactic view; Florian Cramer & Benjamin Bratton (text)]] <br>
[[User:Manetta/i-could-have-written-that/sentiment-analysis-phd-presentation | * EUR PhD presentation 'Sentiment Analysis of Text Guided by Semantics and Structure' (13-11-2015) ]]<br>
[http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/roget-s_thesaurus-of-english-words-and-phrases/roget-s_thesaurus-of-english-words-and-phrases.html * index of Roget's thesaurus (1805)]<br>
[http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/classification_what-happened_roget---wordnet/classification_what-happened_roget---wordnet.html * comparing the classification of the word 'information' Thesaurus (1911) vs. WordNet 3.0 (2006)]<br>




=annotations=
=material=
 
==bibliography (five key texts)==
* Joseph Weizenbaum - Computer Power and Human Reason: From Judgement to Calculation (1976);
* Winograd + Flores - Understanding Computers & Cognition (1987);
* Vilem Flusser - Towards a Philosophy of Photography (1983); [http://pzwart1.wdka.hro.nl/~manetta/annotations/html/txt/vilem-flusser_towards-a-philosophy-of-photography.html &rarr; annotations]
* Antoinette Rouvroy - All Watched Over By Algorithms - Transmediale (Jan. 2015); [http://pzwart1.wdka.hro.nl/~manetta/annotations/html/events%2btalks/transmediale_all-watched-over-by-algorithms_2015.html &rarr; annotations]
* The Journal of Typographic Research - OCR-B: A Standardized Character for Optical Recognition this article (V1N2) (1967); [http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/automatic-reading-machines/automatic-reading-machines.html &rarr; abstract]
 
{{#widget:YouTube|id=JFgsdzikVZU}}
 
==annotations==
* Alan Turing - Computing Machinery and Intelligence (1936)
* Alan Turing - Computing Machinery and Intelligence (1936)
* The Journal of Typographic Research - OCR-B: A Standardized Character for Optical Recognition this article (V1N2) (1967); [http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/automatic-reading-machines/automatic-reading-machines.html &rarr; abstract]
* The Journal of Typographic Research - OCR-B: A Standardized Character for Optical Recognition this article (V1N2) (1967); [http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/automatic-reading-machines/automatic-reading-machines.html &rarr; abstract]
Line 77: Line 77:
* Benjamin Bratton - [https://vimeo.com/145288035 On A.I. and Cities : Platform Design, Algorithmic Perception, and Urban Geopolitics] (Nov. 2015);
* Benjamin Bratton - [https://vimeo.com/145288035 On A.I. and Cities : Platform Design, Algorithmic Perception, and Urban Geopolitics] (Nov. 2015);


==currently working on==
[[User:Manetta/i-could-have-written-that/from-mining-minerals-to-mining-data | * terminology: data 'mining']]<br>
[[User:Manetta/i-could-have-written-that/data-mining-in-the-wild | * ''Knowledge Discovery in Data'' (KDD) in the wild, problem formulations]]<br>
[[User:Manetta/i-could-have-written-that/kdd-applications | * ''KDD'', applications]]<br>
[[User:Manetta/i-could-have-written-that/knowledge-discovery-workflow | * ''KDD'', workflow]]<br>
[[User:Manetta/i-could-have-written-that/text-processing/simplification | * text-processing: simplification]]<br>
[[User:Manetta/i-could-have-written-that/data-mining-parties | * list of data mining parties]]<br>
==other==
[[User:Manetta/thesis/thesis-outline-nlp | outline-thesis (2) &rarr; NLP]]
------------------------------
[[User:Manetta/thesis/thesis-in-progress | thesis in progress (overview)]]
[[User:Manetta/thesis/chapter-intro | intro &+]]


=bibliography (five key texts)=
[[User:Manetta/thesis/chapter-1 | chapter 1]]
* Language, Florian Cramer (2008); [http://pzwart1.wdka.hro.nl/~manetta/annotations/html/txt/florian-cramer_language.html &rarr; annotations]
 
* Antoinette Rouvroy - All Watched Over By Algorithms - Transmediale (Jan. 2015); [http://pzwart1.wdka.hro.nl/~manetta/annotations/html/events%2btalks/transmediale_all-watched-over-by-algorithms_2015.html &rarr; annotations]
[[User:Manetta/thesis/chapter-2 | chapter 2]]
* The Journal of Typographic Research - OCR-B: A Standardized Character for Optical Recognition this article (V1N2) (1967); [http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/elements/automatic-reading-machines/automatic-reading-machines.html &rarr; abstract]
 
*
[[User:Manetta/thesis/chapter-3 | chapter 3]]

Latest revision as of 16:09, 30 April 2016

outline - i could have written that

intro

text analytics < > systemization of language

This text originates from an interest in the systemization of language that is needed for computer software to be able to 'understand' and process written language.

vocabulary

  • buzzwords (machine learning, big data, data mining) (ref to Florian Cramer)
  • metaphor (too much ???)
  • one of the five KDD steps

problematic situation

...

Text mining seems to be a rather brutal way to deal with the aim to process natural language into useful information. To reflect on this brutality, tracing back a longer tradition of natural language processing could be usefull. Hopefully this will be a way to create some distance to the hurricanes of data that are mainly known as 'big', 'raw' or 'mined' these days.

audience

This thesis will aim for an audience that is interested in an alternative perspective on buzzwords like 'big data' and 'data-mining'. Also, this thesis will (hopefully!) offer a view from a computer-vision side: how software is written to understand the non-computer world of written text.

hypothesis

The results of data-mining software are not mined, results are constructed.

chapter 1: on what basis? three settings to highlight differences in text analytical ideologies

  • setting 1: PhD candidate's thesis defence, Faculty of Economics, Erasmus University Rotterdam
  • setting 2: Lyle Unger's TED Talk, World Well Being Project, Faculty of Psychology, University of Pennsylvania
  • setting 3: Guy de Pauw's introduction on text mining software, CLiPS, Faculty of Arts & Philosophy, Computational Linguistics & Psycholinguistics department, University of Antwerp

chapter 2: deriving information from written text → the material form of language

  • statistical text analytics is not 'read-only', it's writing
    • to extract? → to derive
  • written language as source material
    • analogy to typography, dealing with the optical materiality of words/sentences/text
    • text analytics dealing with the quantifiable and structural materiality of words/sentences/text
      • word-counts
      • word-order/structure
  • what do these material analyses represent?
    • key-value format (?)

chapter 3: information extraction / text categorization. diving into the software!

  • unsupervised
  • supervised


material

bibliography (five key texts)

  • Joseph Weizenbaum - Computer Power and Human Reason: From Judgement to Calculation (1976);
  • Winograd + Flores - Understanding Computers & Cognition (1987);
  • Vilem Flusser - Towards a Philosophy of Photography (1983); → 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

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);
  • 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);

currently working on

* terminology: data 'mining'
* Knowledge Discovery in Data (KDD) in the wild, problem formulations
* KDD, applications
* KDD, workflow
* text-processing: simplification
* list of data mining parties

other

outline-thesis (2) → NLP


thesis in progress (overview)

intro &+

chapter 1

chapter 2

chapter 3