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DTSTART;TZID=America/New_York:20200205T100000
DTEND;TZID=America/New_York:20200205T120000
DTSTAMP:20260420T200704
CREATED:20200123T185425Z
LAST-MODIFIED:20200128T184637Z
UID:4240-1580896800-1580904000@nycdh.org
SUMMARY:Text as Data in the Humanities
DESCRIPTION:An introduction to computational text analysis for literature with basic introduction to software packages. This workshop is a primer for working with text as data in the humanities. This workshop will cover: gathering text corpora\, data cleaning\, an introduction to some computational software tools\, reading the output and analysis of topic modeling and cluster analysis\, and a general overview of common questions asked in computational literary studies. \nTo register for this event please use the following link: https://nyu.libcal.com/event/6431701
URL:https://nycdh.org/dhweek/event/text-as-data-in-the-humanities-2/
LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Data Management,Text Analysis
ORGANIZER;CN="Casey Hampsey":MAILTO:ch3080@nyu.edu
GEO:40.7294345;-73.9972124
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190208T120000
DTEND;TZID=America/New_York:20190208T140000
DTSTAMP:20260420T200704
CREATED:20190120T182320Z
LAST-MODIFIED:20190124T172730Z
UID:2606-1549627200-1549634400@nycdh.org
SUMMARY:Social Media Scraping for Qualitative Research
DESCRIPTION:Learn small-scale web scraping of social media for qualitative analysis by using Ncapture and NVivo \nRequirements: Attendees should have a Twitter account.
URL:https://nycdh.org/dhweek/event/social-media-scraping-for-qualitative-research-4/
LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Beginner,Social Media
ORGANIZER;CN="Sarah DeMott":MAILTO:sarah.demott@nyu.edu
GEO:40.7294345;-73.9972124
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190205T120000
DTEND;TZID=America/New_York:20190205T140000
DTSTAMP:20260420T200704
CREATED:20190120T182004Z
LAST-MODIFIED:20190123T220731Z
UID:2603-1549368000-1549375200@nycdh.org
SUMMARY:Text as Data in the Humanities
DESCRIPTION:An introduction to text analysis for literature with a foundational overview of considerations for approaching computational text analysis in the humanities. This workshop will cover a) gathering text corpus\, b) copyright considerations c) data cleaning\, d) an introduction to the computational software tools e) reading the output and analysis that may include word frequencies\, cluster analysis\, wide spectrum analysis\, and topic modeling\, and f) a general overview of common questions asked in computational literary studies. This workshop is an introduction to working with text as data in the humanities. \nRequirements: none \nPlease register here as well as at the following link: https://nyu.libcal.com/event/5021279
URL:https://nycdh.org/dhweek/event/text-as-data-in-the-humanities/
LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Advanced,Beginner,Intermediate,Text Analysis
ORGANIZER;CN="Sarah DeMott":MAILTO:sarah.demott@nyu.edu
GEO:40.7294345;-73.9972124
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180207T160000
DTEND;TZID=America/New_York:20180207T180000
DTSTAMP:20260420T200704
CREATED:20180118T204622Z
LAST-MODIFIED:20180207T172213Z
UID:1627-1518019200-1518026400@nycdh.org
SUMMARY:Social Media Scraping for Qualitative Research
DESCRIPTION:Interested in incorporating social media content into your qualitative research project? This workshop will introduce the basics of using small-scale web scraping of social media for qualitative analysis. Using NCapture\, a web browser extension\, and NVivo\, a qualitative analysis software package\, this session will focus on methods to incorporate the context from web pages\, online PDFs\, and social media into your research design. Presenters will provide detailed examples for importing and coding Facebook and Twitter data using the NVivo software platform. In addition\, discussions may include topics such as collecting\, storing\, and reporting social media data as academic researchers. Brief overview of aims of Qualitative Research and NVivo Software will be provided. Please note that this workshop will not cover larger data sets and web scraping using tools like Python or R. Introductory level. \nLEVEL: Beginner\nNOTES: N/A
URL:https://nycdh.org/dhweek/event/social-media-scraping-for-qualitative-research-3/
LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Beginner,Social Media,Text Analysis
ORGANIZER;CN="Sarah DeMott":MAILTO:sarah.demott@nyu.edu
GEO:40.7294345;-73.9972124
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170209T080000
DTEND;TZID=America/New_York:20170209T100000
DTSTAMP:20260420T200704
CREATED:20170112T000237Z
LAST-MODIFIED:20170112T105827Z
UID:370-1486627200-1486634400@nycdh.org
SUMMARY:Social Media Scraping for Qualitative Research
DESCRIPTION:Interested in incorporating social media content into your qualitative research project?  This workshop will introduce the basics of using small-scale web scraping of social media for qualitative analysis.   Using NCapture\, a web browser extension\, and NVivo\, a qualitative analysis software package\, this session will focus on methods to incorporate the context from web pages\, online PDFs\, and social media into your research design.   Presenters will provide detailed examples for importing and coding Facebook and Twitter data using the NVivo software platform.  In addition\, discussions may include topics such as collecting\, storing\, and reporting social media data as academic researchers. Brief overview of aims of Qualitative Research and NVivo Software will be provided.  Please note that this workshop will not cover larger data sets and web scraping using tools like Python or R.  Introductory level. \nSkill Level\nBeginner \nPrerequisites\nNone \nEquipment Requirements\nNone
URL:https://nycdh.org/dhweek/event/social-media-scraping-for-qualitative-research-2/
LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Beginner,Social Media
ORGANIZER;CN="Sarah DeMott":MAILTO:sarah.demott@nyu.edu
GEO:40.7294345;-73.9972124
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170209T080000
DTEND;TZID=America/New_York:20170209T100000
DTSTAMP:20260420T200704
CREATED:20170111T235837Z
LAST-MODIFIED:20170208T224428Z
UID:366-1486627200-1486634400@nycdh.org
SUMMARY:Advanced Omeka
DESCRIPTION:CANCELLED DUE TO WEATHER\nBuilding on the Introduction to Omeka workshop\, this workshop will show you how to gain greater control of your Omeka installation. Participants will learn the difference between different deployments of Omeka\, how to manage your own hosted Omeka installation\, and how to use plugins\, themes\, HTML\, CSS\, and PHP to customize your collections and exhibitions. \nSkill Level\nIntermediate \nPrerequisites\nFamiliarity with Omeka. Some familiarity with web file transfers\, web design\, and content management system administration is recommended. \nEquipment Requirements\nAlthough not required\, attendees are encouraged to bring their own laptops with file transfer (i.e. Cyberduck\, Filezilla) and text editing software (i.e. TextEdit\, Notebook\, TextWrangler\, TextMate\, Bbedit) installed.
URL:https://nycdh.org/dhweek/event/advanced-omeka-2/
LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:CMSs,Intermediate,Omeka
ORGANIZER;CN="Kimon Keramidas":MAILTO:kimon.keramidas@nyu.edu
GEO:40.7294345;-73.9972124
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170208T080000
DTEND;TZID=America/New_York:20170208T100000
DTSTAMP:20260420T200704
CREATED:20170111T235354Z
LAST-MODIFIED:20170112T011215Z
UID:364-1486540800-1486548000@nycdh.org
SUMMARY:Using Optical Character Recognition (OCR) to Build a DH Corpus
DESCRIPTION:Students will learn how to use common OCR software\, including Tesseract and ABBYY Finereader\, to build the text corpora they need to for common DH methods such as text mining\, topic modeling\, bibliographic visualizations\, and text-as-data analyses. \nSkill Level\nBeginner \nPrerequisites\nNone \nEquipment Requirements\nNone
URL:https://nycdh.org/dhweek/event/using-optical-character-recognition-ocr-to-build-a-dh-corpus/
LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Beginner,Digital Humanities
ORGANIZER;CN="Nicholas Wolf":MAILTO:nicholas.wolf@nyu.edu
GEO:40.7294345;-73.9972124
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160211T080000
DTEND;TZID=America/New_York:20160211T093000
DTSTAMP:20260420T200704
CREATED:20160121T045202Z
LAST-MODIFIED:20161122T220810Z
UID:178-1455177600-1455183000@nycdh.org
SUMMARY:Social Media Scraping for Qualitative Research
DESCRIPTION:This workshop will introduce the basics of using small-scale web scraping of social media for qualitative analysis. Using NCapture\, a web browser extension\, and NVivo\, a qualitative analysis software package\, this session will focus on methods to incorporate the context from web pages\, online PDFs\, and social media into your research design. Presenters will provide detailed examples for importing and coding Facebook and Twitter data using the NVivo software platform.  In addition\, discussions may include topics such as collecting\, storing\, and reporting social media data as academic researchers. Brief overview of aims of Qualitative Research and NVivo Software will be provided.  Please note that this workshop will not cover larger data sets and web scraping using tools like Python or R. \nPresenter: Sarah DeMott\, NYU Data Services\, Qualitative Data Analysis & Survey Design Specialist \n 
URL:https://nycdh.org/dhweek/event/social-media-scraping-for-qualitative-research/
LOCATION:Bobst Library\, NYU\, Room 617\, 70 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Beginner
ORGANIZER;CN="Sarah DeMott":MAILTO:sarah.demott@nyu.edu
GEO:40.7294345;-73.9972124
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 617 70 Washington Square South New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square South:geo:-73.9972124,40.7294345
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