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DTSTART;TZID=America/New_York:20220210T130000
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DTSTAMP:20260525T092953
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UID:6958-1644498000-1644505200@nycdh.org
SUMMARY:Textual Corpus Creation with Corpus-DB
DESCRIPTION:In this workshop\, participants will learn how to set up a text analysis project\, by automatically assembling a large collection of text\, using the Corpus-DB API. Corpus-DB allows digital humanities researchers to quickly assemble a textual corpus\, according to publication date\, literary genre\, author\, and more. We will generate corpora which may be of interest to those in literary studies\, history\, and other text-based disciplines. No prior programming experience is required.
URL:https://nycdh.org/dhweek/event/textual-corpus-creation-with-corpus-db/
LOCATION:Online\, New York\, NY\, United States
CATEGORIES:2022,Text Analysis,Workshop
ORGANIZER;CN="Jonathan Reeve":MAILTO:jonathan.reeve@columbia.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190206T100000
DTEND;TZID=America/New_York:20190206T120000
DTSTAMP:20260525T092953
CREATED:20190120T173037Z
LAST-MODIFIED:20190124T033100Z
UID:2585-1549447200-1549454400@nycdh.org
SUMMARY:Advanced Topics in Word Embeddings
DESCRIPTION:Word embeddings are the hottest new technology in natural language processing\, and are used across linguistic computer science\, from machine translation to information extraction and computational literary analysis. We will cover advanced topics in word embeddings\, including: document similarity analysis\, nearest-neighbor analysis\, training vector spaces\, and visualization. We will use literary texts as examples\, but the methods are applicable across disciplines\, and participants are encouraged to bring their own corpora to analyze. Python will be our workshop language\, and we will use the libraries SpaCy\, Word2Vec\, and Sense2Vec. \nRequirements: Please bring a laptop on which you’ve installed the Python libraries SpaCy\, scikit-learn\, pandas\, matplotlib\, word2vec\, and sense2vec\, as well as the `en_core_web_lg` language model. Check that you can load it successfully with `spacy.load(‘en_core_web_lg’)`. Refer to the SpaCy documentation for instructions on installing the language model. Working knowledge of Python is also necessary. \n  \n 
URL:https://nycdh.org/dhweek/event/advanced-topics-in-word-embeddings/
LOCATION:Studio@Butler\, 535 W. 114th St.\, New York\, NY\, 10027\, United States
CATEGORIES:Advanced,Text Analysis
ORGANIZER;CN="Jonathan Reeve":MAILTO:jonathan.reeve@columbia.edu
GEO:40.8064029;-73.9632198
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170210T050000
DTEND;TZID=America/New_York:20170210T070000
DTSTAMP:20260525T092953
CREATED:20170112T010715Z
LAST-MODIFIED:20170112T095336Z
UID:350-1486702800-1486710000@nycdh.org
SUMMARY:Advanced Text Analysis with SpaCy and Scikit-Learn
DESCRIPTION:This workshop is an introduction to the Python module SpaCy\, a new library for natural language processing written in Cython\, and Scikit-Learn\, a library for machine learning. It is intended for intermediate to advanced Python programmers who are familiar with natural language processing suites such as the NLTK\, and who are ready to explore next-generation tools. We will cover advanced topics such as word embeddings\, dependency parsing\, and machine learning. \nSkill Level\nIntermediate/Advanced \nPrerequisites\nFamiliarity with Python is required. \nEquipment Requirements\nPlease bring a laptop on which you’ve installed Python 3\, SpaCy\, Scikit-Learn\, and the NLTK. \n 
URL:https://nycdh.org/dhweek/event/advanced-text-analysis-with-spacy-and-scikit-learn/
LOCATION:NYU XE: Experimental Humanities and Social Enagement\, Conference Room\, 24 E 8th St.\, New York\, NY\, 10003\, United States
CATEGORIES:Advanced,Intermediate,Programming Languages,Python
ORGANIZER;CN="Jonathan Reeve":MAILTO:jonathan.reeve@columbia.edu
GEO:40.73169;-73.995173
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160210T060000
DTEND;TZID=America/New_York:20160210T073000
DTSTAMP:20260525T092953
CREATED:20160121T023719Z
LAST-MODIFIED:20161122T221309Z
UID:167-1455084000-1455089400@nycdh.org
SUMMARY:Lightning-Fast Text Editing with Vim
DESCRIPTION:As humanists\, a good portion of the work we do involves text. Whether it’s writing an paper\, editing an article\, or putting together a website\, we spend significant amounts of time moving words around. This workshop will teach you how to write and edit text in the most efficient way possible\, using a modal text editor called Vim. Not only will these skills greatly increase your editing efficiency\, but you will also be able to apply the techniques of modal editing to working with files and even web pages.
URL:https://nycdh.org/dhweek/event/lightning-fast-text-editing-with-vim/
LOCATION:Studio@Butler\, 535 W. 114th St.\, New York\, NY\, 10027\, United States
CATEGORIES:Beginner,Command Line,Editing
ORGANIZER;CN="Jonathan Reeve":MAILTO:jonathan.reeve@columbia.edu
GEO:40.8064029;-73.9632198
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