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2016년 제26권 제2호·여름 - korean.go.kr · 소셜 빅데이터 분석이 근본적으로 학제적이라는 것이다. 이 논문에서는 관련 된 분야로 데이터 마이닝

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  • 2016-02-02 95-13-4-21

    ISSN 1225-7168

    26 2(2016 ) Vol. 201

    2016 6 30

    (www.korean.go.kr)

    07511 154(3 827)

    National Institute of Korean Language

    154, Geumnanghwa-ro, Gangseo-gu, Seoul, Korea

    (02) 2669-9775

    (02) 2669-9737

    ,

    (02) [email protected]

  • 2016 26 2

  • []

    , 9

    31

    - 57

    21

    - 73

    2016 26 2

  • - 87

    107

    () ,

    () () 133

    , 147

    159

    [] 169

  • 9

    ,

    1.

    . (IT)

    (IBM) , 2.5(1

    =1,000,000) .

    90% 2

    (IBM, 2015).

    , ,

    .

    .

    .

    K-ICT (https://kbig.kr)

    (, 2015, 2016) , e-, ,

    ,

    .

    (AlphaGo)

    1

  • 10

    .

    80% , ,

    ,

    (Economist, 2015).

    , .

    .

    ,

    .

    .

    .1)

    .

    .2)

    .

    1) .

    (, 2016).

    2) .

    ,

    .

  • 11

    2. ?

    2.1.

    ,

    .3) (Gartner)

    .

    (Gartner)

    Big data is high-volume, high-velocity and/or high-variety information

    assets that demand cost-effective, innovative forms of information

    processing that enable enhanced insight, decision making, and process

    automation.

    1 : 3V

    (https://commons.wikimedia.org/wiki/File:BigDataVs.png).

    3) .

    IDG(2012) .

    (2016) .

  • 12

    3V .

    [ 1] 3V .

    .

    V (Volume).

    .

    .

    .

    , ,

    .

    . , 2003

    30 13

    30 3.2

    2 1,000

    (IDG, 2012).

    ? 2012

    1,000

    1

    ( , 2012). 1 (DVD) 220

    .

    .

    .

    .

  • 13

    . ,

    ,

    .

    .

    . ,

    .

    V (Velocity).

    .

    .

    .

    100

    (, 2010).

    (SNS)

    .

    .

    .

    .

  • 14

    .

    . ,

    .

    .

    .

    V (Variety).

    .

    ,

    ,

    ,

    . ,

    ,

    . ,

    80%

    .

    .

    . ,

    ( , 2015).

    ,

    .

  • 15

    3V, (Volume),

    (Velocity), (Variety) .

    .

    .

    3V V

    ( , 2015).

    Veracity: (IBM) V .

    , .

    .

    .

    Variability: (SAS) variability complexity, .

    .

    Value: (Oracle) .

    .

    .

  • 16

    2.2.

    80% ,

    .

    .4)

    .

    .

    .

    ,

    .

    ,

    (, 2012, 2015;

    - , 2016).

    .

    . [ 2] - (2016)

    .

    - (2016) [ 2]

    .

    , , , , ,

    , , , ,

    .

    4) , , 2.0

    , ,

    ().

    , , , .

  • 17

    ,

    .

    .

    2 (- , 2016)

    3.

    3.1.

    .

  • 18

    ,

    ( , 2011).

    ,

    ,

    ,

    ( , 2006).

    .

    . , ,

    .

    . (1991)

    ,

    .

    (2006)

    .

    .

    .

    3.2.

    (

    , 2003).

  • 19

    .

    ,

    (WebCorp)(, 2003) .

    .

    .

    .

    .

    .

    3.3.

    .

    .

    ,

    .

    .

    500

  • 20

    50 .

    .5)

    ,

    .

    .

    (2006)

    .

    ,

    .

    ( ,

    2015).

    .6)

    . ,

    .

    .

    , , , .

    5)

    .

    6) ( , 2014;

    , 2016).

  • 21

    .

    .

    .

    . ,

    .

    . ,

    ,

    . ,

    .

    ,

    .

    . ,

    .

    .

    .

    .

    .7)

    7)

    .

    , .

  • 22

    4.

    .

    (2012)

    .

    4.1.

    .

    .

    (1)

    , .

    (GNIP, www.gnip.com)

    . ,

    .

    .

    , 19

    .

    ,

    .

    .

    , ,

    .

  • 23

    .

    .

    (2) (Open API)

    (Open API) .

    .

    .8)

    ,

    , , .

    .

    .

    (3)

    ,

    .

    8) (Open API)

    .

  • 24

    .

    4.2.

    .

    (1)

    ,

    .

    ,

    . .

    .

    (2)

    .

    .

    .

    .

    (3)

    .

    (HTML) .

  • 25

    ,

    , , .

    (4)

    .

    .

    .

    .

    .

    .

    4.3.

    . , , , , ,

    .

    .

  • 26

    .9)

    4.4.

    . ,

    .

    .

    .

    .

    . .

    (2009) .

    .

    .

    .

    9) .

    (http://hadoop.apache.org) (http://spark.apache.org)

    .

  • 27

    .

    , , ,

    .

    .

    ,

    .

    .

    . (memorized)

    .

    .

    .

    .

    .

    4.5.

    .

    ,

  • 28

    .

    .

    .

    5.

    , ,

    .

    .

    . .

    .

    .

    .

    . .

  • 29

    (2012), , .

    ______(2015), . .

    (2012), , . / Hacking,

    I.(1990), The Taming of Chance, Cambridge University Press.

    (2016), ,

    .

    IDG(2012), , IDG Tech Report. http://kbig.kr/

    index.php?sv=title&q=knowledge/pds_&tgt=view&idx=15326/

    (: 2016. 5. 29.).

    (2015), 2015 .

    http://kbig.kr/index.php?sv=title&q=knowledge/pds_&tgt=view&i

    dx=15614&sv=title/(: 2016. 5. 29.).

    ICT(2016), 2016 .

    http://kbig.kr/index.php?sv=title&q=knowledge/pds_&tgt=view&i

    dx=16137/(: 2016. 5. 29.).

    Allenby, G. M., Bradlow, E. T., George, E. I., Liechty, J. and McCulloch,

    R. E.(2014), Perspectives on Bayesian Methods and Big Data,

    Customer Needs and Solutions, 1(3): 169175.

    Bello-Orgaz, G., Jung, J. J. and Camacho, D.(2016), Social big data: Recent

    achievements and new challenges. Information Fusion, 28: 4559.

    Cukier, K.(2010). The Economist, Data, data everywhere: A special report

    on managing information. http://www.economist.com/node/15557443/

    (: 2016. 5. 29.).

    Gandomi, A. and Heider, M.(2014), Beyond the hype: Big data concepts,

    methods, and analytics. International Journal of Information

    Management, 35: 137144.

    Gartner, IT Glossary: Big Data. http://blogs.gartner.com/it-glossary/

    big-data/(: 2016. 5. 29.).

    Halevy, A., Norvig, P. and Pereira, F.(2009), The Unresonable Effectiveness

    of Data, IEEE Intelligent Systems, 812.

  • 30

    Economist(2015), The data deluge: Five years on. http://www.veritas.com/

    content/dam/Veritas/docs/reports/EIU-veritas-data-deluge.pdf/

    (: 2016. 5. 29.).

    IBM(2015), Big Data and Analytics. http://www-01.ibm.com/software/

    data/bigdata/what-is-big-data.html/(: 2016. 5. 29.).

    Kilgarriff, A. and Grefenstette, G.(2003), Introduction to the special issue

    on the Web as Corpus, Computational Linguistics, 29(3): 333347.

    Labrinidis, A. and Jagadish, H. V.(2012), Challenges and opportunities with

    big data, Proceedings of the VLDB Endowment, 5(12): 20322033.

    McEnery, T. and Hardie, A.(2011), Corpus Linguistics: Method, Theory

    and Practice, Cambridge University Press.

    McEnery, T., Xiao, R. and Tono, Y.(2006), Corpus-based Language

    Studies, Rutledge.

    Newscenter, Conversations on linguistics and politics with Noam Chomsky,

    2016 4 18 . http://www.rochester.edu/newscenter/conversations

    -on-linguistics-and-politics-with-noam-chomsky-152592/(:

    2016. 5. 29.).

    Renouf, A.(2003), WebCorp: providing a renewable data source for corpus

    linguists, S. Granger and S. Petch-Tyson(eds.) Extending the Scope

    of Corpus-based Research: New Applications, New Challenges,

    Rodopi, 3958.

    Schroeck, M., Shockley, R., Smart, J., Romero-Morales, D. and Tufano,

    P.(2012), Analytics: The real-world use of big data. How innovative

    enterprises extract value from uncertain data, IBM Institute for

    Business Value. http://www-03.ibm.com/systems/hu/resources/

    therealworduseofbigdata.pdf/(: 2016. 5. 29.).

    Scott, S. L., Blocker, A. W., Bonassi, F. V., Chipman, H. A., George, E.

    I. and McCulloch, R. E.(2016), Bayes and big data: The consensus

    Monte Carlo algorithm, International Journal of Management

    Science and Engineering Management, 11(2): 7888.

    Sinclair, J.(1991), Corpus, Concordance, Collocation, Oxford University

    Press.

  • 31

    (KAIST) ( )

    : (Zeitgeist)?

    .

    ,

    ,

    , (Google ) , ,

    .

    (Wagner) ,

    , , ,

    .

    ,

    M

    (Nature) (Science) (

    ) , .

    2

  • 32

    . 1945 5 1

    , .1)

    , .

    ()

    .

    ,

    ,

    .

    ()

    , () ,

    .

    !

    .

    , so big!

    .2) ,

    , (

    ) () ,

    .

    1) 1945 5 2.

    2) (, 2007) .

  • 33

    , ?

    ,

    . ,

    , , 0

    1 . ,

    ,

    so big!. ,

    ,

    30 , 30 6 18 .3)

    302403018=3,888,000

    .

    . ,

    ?

    . 3,888,000

    so big! .

    . ,

    . .

    ,

    . . ,

    . ,

    . 30 3,888,000

    .

    3) ( , , 2014)

    .

  • 34

    .

    (substructure) ,

    (superstructure)

    .

    :

    , ,

    .

    ,

    .

    , .

    ,

    . .

    ,

    () ,

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    .

    .

    ,

    , .

    .

    .

  • 35

    .

    ,

    ,

    , .

    .

    .

    .

    :

    (, 2015) ,

    () .

    1, 5, 10, 200

    ,

    , .

    () () ,

    () , ,

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    , ,

    , , () ,

  • 36

    .

    .

    () 1, 5, 10,

    200

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    ,

    .

    . ,

    .

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    .

    ,

    ,

    .

    , .

  • 37

    (grammatical metaphor)

    () . ,

    .

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    , .

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    ,

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    Halliday) ,

    (congruent) (grammatical metaphor)

    .

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    (signals) .

    .

    . ,

  • 38

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    ,

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  • 39

    .

    . ,

    , .

    B

    C (Werner Karl

    Heisenberg)

    . ,

    , ,

    , ,

    .

    : OK 4)

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    4) ( , ,

    2015) . [ 1], [ 2], [ 3] .

  • 40

    ,

    .

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    . , ,

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    .

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    OK

    (Christian Rudder)

    . 1,000

    ,

  • 41

    , 5 5,500 .

    .

    .

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    . , 20

    23 . 20 23

    . .

    , 21 23 , 22 24 ,

    23 25 .

    , ,

    , ,

    , , ()

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    . , 20 23

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  • 42

    1

    [ 1] ,

    . 29 29

    , 30 30 , 31 31

    . 32 ,

    . ,

    . ,

    . [ 2]

  • 43

    [ 1]

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    . [ 3] OK ,

    .

  • 44

    3

    , . 20

    . 20

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    .

    . 20 21 ()

    . , 20, 21

    20 23

  • 45

    .

    ,

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    .

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    OK ,

    , ,

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    .

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    , , ,

    .

    5)

    (, 2014) .

  • 46

    4

    , ,

    ,

    .

    50 , 2003 2007

    , 2008 . [ 4] 2008

    . [ 4] ,

    !

    , ,

    . ,

    20 ,

    .

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    , 2012 ,

    . [ 5] 2012

  • 47

    (CDC

    ) .

    5

    ,

    2 !

    ,

    . ,

    , .

    ?

    ?

    .

  • 48

    ()

    ,

    , ,

    .

    ,

    ,

    .

    () ,

    ,

    .

    ()

    ()

    .

    .

    . , ,

    , (microcosm)

    .

    .

    , ?

    ? (Das Gedankenexperiment)

    , .

  • 49

    ,

    . 20

    (David Hilbert)

    . .(Wir mssen wissen, Wir werden

    wissen.) ,

    .

    ,

    .

    , ,

    () .

    (, variable) . ,

    () , (,

    constants) ,

    ,

    . (,

    parameter) , ,

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    , . , ,

    , .

    ,

    , ,

    .

    , .

  • 50

    ,

    .

    , , ,

    . ,

    , (, ex ante),

    (, a priori) ,

    (, ex post), (, a posteriori)

    . , ,

    .

    ().

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    ) . , ,

    , , ,

    .

    (contextual). ,

    , ,

    .

    ,

    .

    , ()

    .

    ( ) ,

    , ,

  • 51

    ,

    , .

    ,

    ,

    , .

    .

    .

    , , ,

    . .

    ,

    . ,

    .

    , , ,

    50 .

    .

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    .

    ,

    , 50

    .

  • 52

    . 2008 .

    ,

    , . 2012

    . , 50

    . .

    , 2012 !

    2012

    ? ,

    , ,

    .

    , 50

    . .

    .

    ,

    .

    . 2008 2012 ,

    .

    () = =

    .

    .

    .

  • 53

    .

    ,

    .

    , ,

    ,

    . ,

    ,

    .

    , ,

    .

    ,

    .

    , , (, tonality)

    . 1721 (Johann Sebastian

    Bach) 1 , 12

    , (, atonality)

    (Arnold Schnberg) , .

    , (, atonality)

    .

    .

    ,

    , , ,

    , , ()

    ,

  • 54

    . , ()

    .

    12 .

    12 () ,

    . 12

    , . 20

    (Glenn Gould)

    .

    .

    , , ,

    , ,

    , () ,

    . .

    .

    .

    . , 12

    .

    ,

    , ,

    .

    ,

    .

    . ,

    . ,

    .

  • 55

    .

    .

    ,

    .6)

    .

    .

    6) .

  • 57

    1. ,

    .

    , , , ,

    (SNS)

    , .

    . (ICT)

    .

    , , , .

    ,

    .

    .

    2

    . 2020 1 1.7

    . ,

    3

  • 58

    ,

    .

    2020 60

    .

    , , , ,

    , . 2020

    500 (IoT) .

    (

    ) .

    .

    .

    , ,

    .

    ,

    .

    ,

    . (Wikipedia)

    , , ,

    .

    . (2013)

    .

    (causality)

  • 59

    (correlation) . (IDC,

    2011) , ,

    4

    (Volume, Variety, Velocity, Value) .

    ,

    , , , (

    , 2015).

    , , ,

    , .

    (2013)

    . ,

    . ,

    .

    ,

    .

    2. (Text Mining),

    .

    ,

  • 60

    .

    ,

    .

    .

    , ,

    .

    .

    . ,

    .

    .

    ,

    .

    , , .

    1998 21 :

    .

    (Corpus), .

    , ,

    . ,

    , ,

  • 61

    .

    . , ,

    ,

    , , .

    (Natural

    Language Processing)

    .

    , ,

    . (NLP)

    ,

    . ,

    , .

    ,

    (

    , 2013).

    .

    , .

    .

  • 62

    . (heuristic),

    (viable prefix) ,

    , .

    ,

    .

    ( )

    .

    .

    (devising) .

    (parsing),

    , ,

    , .

    , ,

    .

    (categorization), (clustering), / ,

    (granular) , , , (:

    ) .

    , (lexical

    analysis), (pattern recognition), /(tagging/annotation),

    , ,

    (visualization), (predictive analytics) .

    (NLP)

    .

  • 63

    , (document set) ,

    .

    3. ,

    .

    .

    .

    (Deep Learning) (Machine Learning)

    .

    .

    , , .

    .

    .

    (Artificial Intelligence)

    . 9

    (AlphaGo) .

    .

    .

  • 64

    , , .

    (Semantic Network Analysis)

    . (Social Network Analytics)

    (Graph Theory)

    .

    , ,

    ,

    .

    .

    ,

    .

    .

    (concept)

    (statement) .

    .

    ,

    .

  • 65

    .

    .

    (UCINET), (NodeXL),

    (Gephi), (Pajek)

    .

    , .

    .

    .

    (degree),

    (density)

    .

    (centrality).

    , (degree centrality), (closeness

    centrality), (betweenness centrality)

    (freeman, 1978).

    (Ego Network Analysis) (Sentiment Analysis)

    . ,

    , ,

  • 66

    . ,

    , .

    .

    (Cluster Analysis)

    .

    .

    ,

    .

    (discourse)

    .

    .

    ,

    , () .

    (Ars Praxia)

    ,

    . (Userstorylab)

    , .

    (The IMC)

  • 67

    (Raw data) ,

    ,

    .

    4. :

    .

    . ,

    ,

    .

    .

    (semantic network analysis)

    . ()

    , (association) .

    3 (AI)

    .

    9

    ,

    .

    (TextoM)

  • 68

    2016 3 3 21 N D

    , , .

    17 2 .

    1

    ,

    ,

    [ 1] .

    .

    ,

    .

    .

    , , , , , ,

    .

    ,

  • 69

    4 1

    .

    .

    .

    [ 1] .

    100 ,

    .

    .

    1

  • 70

    , ,

    . (Demis Hassabis)

    ,

    . ,

    .

    , , , ,

    .

    .

    .

    , 1,200

    .

    , , 58, , ,

    .

    ,

    .

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  • 71

    ,

    .

    .

    5.

    , ,

    .

    , , ,

    .

    .

    .

    .

    .

    .

    (Social Overhead Capital)

    .

    .

    .

  • 72

    (2004), ,

    , http://klpl.re.pusan.ac.kr/.../20040720104458_

    -.ppt/.

    (2013),

    , , 2

    12, 881888.

    (2002), : ,

    , 2002 8 7 .

    (2016),

    , , 40 2, 203221.

    (2015), ,

    , .

    (2003), (21 ) , .

    (2013), , 21

    .

    (2013),

    , , 21 1,

    279301.

    IDC(2011), The 2011 IDC Digital Universe Study.

    Marr, B.(2016), Bigdata in Practice, Wiley, West Sussex.

    Wikipedia. http://ko.wikipedia.org/wiki/__/(: 2016. 5. 31.).

    _________. http://en.wikipedia.org/wiki/Big_data/(: 2016. 5. 31.).

    _________. http://en.wikipedia.org/wiki/Text_mining/(: 2016. 5. 31.).

  • 73

    21

    1.

    21 1997

    1998 2007 10

    (, 2009).

    .

    21 10

    21

    . 2009

    21

    (2009), (2009), (2009) ,

    21

    . 21

    .

    4

  • 74

    2. 21

    21

    . .

    - 21

    : 2007, DVD 4- DVD 1:

    - DVD 2:

    - DVD 3:

    - DVD 4: / / /

    : 2009, DVD 2(2007 )- DVD 1:

    - DVD 2: / / /

    / /

    : 2010, DVD 2(2009 )- DVD 1:

    -DVD 2: / / / /

    /

    1): 2011, DVD 2(2009 , 2.0 )- DVD 1:

    -DVD 2: / / / /

    /

    1) DVD ,

    . .

  • 75

    ,

    . DVD

    , 2013 (http://

    ithub.korean.go.kr/) DVD

    .2)

    2) . DVD

    . .

  • 76

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  • 128

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  • 129

    ,

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  • 130

    (2010), .

    (2009), Education and Development in Egypt, , Vol.28(1).

    (1996), , .

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    , , 22(1).

    ______(2013), -

    , , 27(1).

    (2002), ,

    .

    ______(2003), , ,

    7 1, .

    ______(2006), ,

    , 9 1, .

    21 (2006), 3, .

    Abou-Seida, A. M.(1971), Diglossia in Egyptian Arabic: Prolegomena to

    a Pan-Arabic Sociolinguistic Study, Doctoral Dissertation, University

    of Texas, Austin.

    Al-Toma, S. J.(1974), Language Education in Arab countries and the Role

    of the Academics in J. Fishman, ed., Advances in Language Planning.

    The Hague: Mouton.

    Anwar, G. C.(1969), The Arabic Language Its Role in History,

    University of Minnesota Press, Minnesota.

    Badawi, S. M.(1973), Mustawayt al-arabiyyah al-muirah fi Mir, Cairo: Dr al-Marif bi Mir.

    Ferguson, C. A.(1959), Diglossia, Word, 15.

    ________________(1991), Diglossia Revisited, The Southwest Journal of

    Linguistics. 10(1).

    Shraybom, S. S.(1999), Language and political change in modern Egypt,

    International Journal of the Sociology of Language 137.

    Khalafallah, A. A.(1969). A Descriptive Grammar of Saei:di Egyptian

  • 131

    Colloquial Arabic, Paris, Mouton.

    Versteegh, K.(1997). The Arabic language, Edinburgh, Edinburgh University

    Press.

    Zughoul, M. R.(1980), Diglossia in Arabic: Investigating Solutions,

    Anthropological Linguistics, 22(5).

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    www.Arabicacademy.org.eg/.

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  • 139

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  • 140

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  • 141

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  • 142

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  • 143

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