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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220210T150000
DTEND;TZID=America/New_York:20220210T170000
DTSTAMP:20260420T202302
CREATED:20220125T211112Z
LAST-MODIFIED:20220209T150205Z
UID:6968-1644505200-1644512400@nycdh.org
SUMMARY:Text Analysis with a Zine Corpus
DESCRIPTION:Working with transcribed zines from the Barnard Zine Library\, we will engage participants in the ethics and steps of creating a corpus and how to explore them using Voyant-Tools and a pre-written Python script. Corpus metadata highlight zine creators holding one or more minoritized identities. All are welcome\, and no coding experience is necessary. \nThis workshop is hosted by Filipa Calado (CUNY GC Ph.D student)\, Jenna Freedman (Barnard Zine Library curator)\, and Miranda Johnson (University of Wisconsin-Madison\, MLIS student).
URL:https://nycdh.org/dhweek/event/text-analysis-with-a-zine-corpus/
LOCATION:Online\, New York\, NY\, United States
CATEGORIES:2022,Beginner,Text Analysis,Workshop,Zines
ORGANIZER;CN="Jenna Freedman":MAILTO:jfreedma@barnard.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220210T130000
DTEND;TZID=America/New_York:20220210T150000
DTSTAMP:20260420T202302
CREATED:20220125T210715Z
LAST-MODIFIED:20220209T145655Z
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210212T100000
DTEND;TZID=America/New_York:20210212T120000
DTSTAMP:20260420T202302
CREATED:20210122T050658Z
LAST-MODIFIED:20210208T193125Z
UID:5568-1613124000-1613131200@nycdh.org
SUMMARY:Brooklyn College Covid-19 Archive@ A Journal of the Plague Year
DESCRIPTION:This digital archive has collected stories and experiences from the Brooklyn College community related to the Covid-19 pandemic. The archive resides within the larger\, omnibus archive\, A Journal of the Plague Year. This demonstration will review the principles that guided the project\, the submission process and explore possible digital humanities projects based upon the archive content.
URL:https://nycdh.org/dhweek/event/brooklyn-college-covid-19-archive-a-journal-of-the-plague-year/
LOCATION:Virtual\, NY\, United States
CATEGORIES:2021,All Levels,Demonstration,homefeature,Mapping,Text Analysis,Visualization
ORGANIZER;CN="Miriam Deutch":MAILTO:miriamd@brooklyn.cuny.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210211T180000
DTEND;TZID=America/New_York:20210211T200000
DTSTAMP:20260420T202302
CREATED:20210119T180721Z
LAST-MODIFIED:20210208T193202Z
UID:5428-1613066400-1613073600@nycdh.org
SUMMARY:Build Your Own Text-as-Data Corpus: A Print-to-Bytes Primer
DESCRIPTION:This hands-on workshop will teach participants how to construct their own digital text corpus for conducting humanities data analysis. We’ll cover simple tools for turning printed texts in a variety of languages into computer-readable files\, the use of Optical Character Recognition (OCR) software\, and consider helpful tools for post-process correction of digitized texts. We’ll also look at open-access text-as-data sources available over simple web-browser-based API calls. The workshop is geared toward digital humanists needing to assemble text data that are not yet compiled or in computer readable form for analysis\, and who are looking for an introduction to the workflows and software suited to building the research materials needed for analysis. We’ll learn how to use Tesseract\, an open-source OCR software\, consider the anatomy of an HOCR file (the output of OCR efforts)\, and deploy techniques for extracting structured information from a page. \nComputer with a text editor installed such as BBEdit\, TextWrangler\, Atom\, Notepad++ or the like; administrator access to install open-source software (Tesseract).
URL:https://nycdh.org/dhweek/event/build-your-own-text-as-data-corpus-a-print-to-bytes-primer/
LOCATION:Virtual\, NY\, United States
CATEGORIES:2021,Text Analysis,WIDH2021
ORGANIZER;CN="Nicholas Wolf":MAILTO:nicholas.wolf@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210209T080000
DTEND;TZID=America/New_York:20210209T100000
DTSTAMP:20260420T202302
CREATED:20210120T060807Z
LAST-MODIFIED:20210208T194750Z
UID:5442-1612857600-1612864800@nycdh.org
SUMMARY:FairCopy: A word processor for the digital humanities.
DESCRIPTION:FairCopy is a simple and powerful tool for transcribing\, editing\, and studying manuscripts and historical texts. FairCopy gives humanists an editor to create TEI encoded texts without writing a single line of XML\, so this rich format becomes accessible for everyone. Nick Laiacona will demonstrate the use of this new tool and its functionality. The software is in early access and is available for free at www.faircopyeditor.com. \n 
URL:https://nycdh.org/dhweek/event/faircopy-a-word-processor-for-the-digital-humanities/
LOCATION:Virtual\, NY\, United States
CATEGORIES:2021,Beginner,Demonstration,Text Analysis
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200207T100000
DTEND;TZID=America/New_York:20200207T120000
DTSTAMP:20260420T202302
CREATED:20200121T164431Z
LAST-MODIFIED:20200123T164710Z
UID:4077-1581069600-1581076800@nycdh.org
SUMMARY:Starting to Text Mine the Digitized Library with HathiTrust Features.
DESCRIPTION:Millions of books have been digitized in the past two decades. Thanks to a 2014 court ruling\, about 15 million books are available for computational analysis in the HathiTrust including data about word counts on each individual page. In the next year or two\, similar data will become available for JStor and Portico books. This session will address the following issues necessary for working with this dataset. \n1. What books have been scanned\, and which ones end up in Hathi?\n2. How do you build up a list of Hathi volumes to address a feature set?\n3. How do you acquire and work with Hathi’s “Feature Count” data programmatically?\n4. What sort of questions can you answer with these word counts\, anyway? \nEquipment Requirements: Laptop or high-powered tablet.\nPrerequisites: None; this session will generally be at a high enough level that it should be useful for those who wish to supervise research programmers rather than do it directly. Those with basic programming experience who wish to use it in the workshop should consider installing the ‘htrc-feature-counts’ module (for python) or the ‘hathidy’ package (for R).
URL:https://nycdh.org/dhweek/event/starting-to-text-mine-the-digitized-library-with-hathitrust-features/
LOCATION:Pace University\, Babble Lab\, Rm. 202\, 41 Park Row\, New York\, NY\, 10038\, United States
CATEGORIES:Intermediate,Text Analysis
ORGANIZER;CN="Ben Schmidt":MAILTO:bmschmidt@gmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200206T140000
DTEND;TZID=America/New_York:20200206T160000
DTSTAMP:20260420T202302
CREATED:20200122T154324Z
LAST-MODIFIED:20200128T211946Z
UID:4108-1580997600-1581004800@nycdh.org
SUMMARY:The Making and Knowing Project’s Digital Critical Edition and English Translation of a 16th-c. Manuscript of Artisanal Recipes
DESCRIPTION:The Making and Knowing Project (Center for Science and Society\, Columbia University) is excited to present Secrets of Craft and Nature in Renaissance France—a digital critical edition and English translation of a sixteenth-century French manuscript of artisanal recipes. The publication of this edition marks the culmination over five years of iterative\, collaborative\, and interdisciplinary work by over 400 scholars and students worldwide. The transcribed\, translated\, and encoded text of BnF Ms Fr 640 is accompanied by research essays\, field notes from recipe reconstructions in the Making and Knowing Laboratory\, text-level editorial comments\, a glossary of terms\, search and navigation features\, and raw data files for export and analysis. \nIn this demonstration\, the Project team will present the edition and its features. Digital Lead Terry Catapano and Designer-Developer Nick Laiacona will discuss the challenges and workarounds in creating a function-rich static site\, and Laiacona will present work-in-progress toward the creation of a “community edition\,” an open-source customizable version of the edition infrastructure—in other words\, a community software platform that other scholars and students can use to present their own texts. The Project team will conclude by demonstrating some of the textual analyses made possible by its custom semantic markup. \nEquipment: Laptop (optional) \n 
URL:https://nycdh.org/dhweek/event/how-can-digital-historical-texts-be-used-examples-from-the-making-and-knowing-project-2/
LOCATION:Columbia University\, Fayerweather Hall\, Room 513\, 1180 Amsterdam Avenue\, New York\, NY\, 10027\, United States
CATEGORIES:Beginner,Text Analysis
ORGANIZER;CN="Tianna Uchacz":MAILTO:thu2102@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200205T180000
DTEND;TZID=America/New_York:20200205T200000
DTSTAMP:20260420T202302
CREATED:20200121T164017Z
LAST-MODIFIED:20200121T164017Z
UID:4073-1580925600-1580932800@nycdh.org
SUMMARY:Introduction to WebAnno
DESCRIPTION:WebAnno is a web-based tool for linguistic annotation (marking up) of text\, with layers for morphological\, syntactic\, and semantic annotation. We will work through tagging named entities and relationships in a text\, exporting as a tab-delimited file\, and using the annotated text as input into a (Python) machine-learning algorithm for named entity recognition. \nEquipment Requirements: bring a computer\, should have Python installed\, preferably also downloaded WebAnno \n 
URL:https://nycdh.org/dhweek/event/introduction-to-webanno/
LOCATION:Studio@Butler\, 535 W. 114th St.\, New York\, NY\, 10027\, United States
CATEGORIES:Intermediate,Text Analysis
ORGANIZER;CN="Joshua Waxman":MAILTO:joshua.waxman@yu.edu
GEO:40.8064029;-73.9632198
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Studio@Butler 535 W. 114th St. New York NY 10027 United States;X-APPLE-RADIUS=500;X-TITLE=535 W. 114th St.:geo:-73.9632198,40.8064029
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200205T100000
DTEND;TZID=America/New_York:20200205T120000
DTSTAMP:20260420T202302
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:20200204T180000
DTEND;TZID=America/New_York:20200204T200000
DTSTAMP:20260420T202302
CREATED:20200123T175647Z
LAST-MODIFIED:20200123T175647Z
UID:4142-1580839200-1580846400@nycdh.org
SUMMARY:NLP for non-data scientists - Event Extraction
DESCRIPTION:The amount of text data available is mind-boggling. We will explore programatic approaches to identify information about what happened and when it happened by gathering knowledge from text. \nEquipment: Python\, Anaconda\, Laptop\nPrerequisites: Working familiarly with Python \n 
URL:https://nycdh.org/dhweek/event/nlp-for-non-data-scientists-event-extraction/
LOCATION:Columbia (Butler Library room 208B)\, 535 West 114th St\, New York\, NY\, 10027\, United States
CATEGORIES:Intermediate,Python,Text Analysis
ORGANIZER;CN="Amir Imani":MAILTO:a.imani@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190206T120000
DTEND;TZID=America/New_York:20190206T140000
DTSTAMP:20260420T202302
CREATED:20190120T172556Z
LAST-MODIFIED:20190129T031718Z
UID:2580-1549454400-1549461600@nycdh.org
SUMMARY:What matters to your Congressperson?
DESCRIPTION:What topics most preoccupy your member of Congress? Are those the sorts of things you prioritize? In this workshop users will learn how to navigate a database of Congress to constituent e-newsletters and how to perform text analyses in R to get a top level core of what members of Congress most focus on in public communication. \nRequirements: attendees should bring their own laptop.
URL:https://nycdh.org/dhweek/event/what-matters-to-your-congress-person/
LOCATION:Bobst Library\, NYU\, Room 619\, 70 Washington Square S\, New York\, NY\, 10012\, United States
CATEGORIES:Beginner,Intermediate,Text Analysis
ORGANIZER;CN="Lindsey Cormack":MAILTO:lcormack@stevens.edu
GEO:40.7294345;-73.9972124
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 619 70 Washington Square S New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square S:geo:-73.9972124,40.7294345
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190206T103000
DTEND;TZID=America/New_York:20190206T120000
DTSTAMP:20260420T202302
CREATED:20190120T184155Z
LAST-MODIFIED:20190124T031254Z
UID:2621-1549449000-1549454400@nycdh.org
SUMMARY:Intro to the Command Line
DESCRIPTION:Learn how to use the command line to perform basic tasks. We’ll begin by discussing why humanists would want to learn something so technical\, then jump into learning how to create and edit files and directories. Knowledge of the command line can be applied in many contexts\, including several of the other workshops offered this week! \nRequirements: Attendees should bring their own laptop.
URL:https://nycdh.org/dhweek/event/intro-to-the-command-line-3/
LOCATION:Bobst Library\, NYU\, Room 619\, 70 Washington Square S\, New York\, NY\, 10012\, United States
CATEGORIES:Beginner,Command Line,Text Analysis
ORGANIZER;CN="Zach Coble":MAILTO:zach.coble@nyu.edu
GEO:40.7294345;-73.9972124
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Bobst Library NYU Room 619 70 Washington Square S New York NY 10012 United States;X-APPLE-RADIUS=500;X-TITLE=70 Washington Square S:geo:-73.9972124,40.7294345
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190206T100000
DTEND;TZID=America/New_York:20190206T120000
DTSTAMP:20260420T202302
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Studio@Butler 535 W. 114th St. New York NY 10027 United States;X-APPLE-RADIUS=500;X-TITLE=535 W. 114th St.:geo:-73.9632198,40.8064029
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190205T120000
DTEND;TZID=America/New_York:20190205T140000
DTSTAMP:20260420T202302
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:20180209T140000
DTEND;TZID=America/New_York:20180209T160000
DTSTAMP:20260420T202302
CREATED:20180125T015204Z
LAST-MODIFIED:20180207T171526Z
UID:1722-1518184800-1518192000@nycdh.org
SUMMARY:Word Embeddings: Can Vectors Encode Meaning?
DESCRIPTION:Word embeddings\, or vector representations of words\, are commonly used in computer science to work with and analyze text. They are particularly useful as a powerful off-the-shelf tool when using open-source word embeddings previously generated by Google\, Facebook\, or other technology companies based on web crawls. We present the background and justifications for using vectors to represent meaning\, how word embeddings are created\, and applications of word embeddings in the social sciences and humanities. We’ll also touch on algorithmic bias\, how this is presented in word embeddings\, and what practitioners should be aware of. \nLEVEL: Beginner\nNOTES: none
URL:https://nycdh.org/dhweek/event/word-embeddings-can-vectors-encode-meaning/
LOCATION:Columbia University\, CEPSR\, Room 620\, 530 West 120th Street\, New York\, NY\, 10027\, United States
CATEGORIES:Beginner,Text Analysis
ORGANIZER;CN="Katy Gero and Jeff Jacobs":MAILTO:katy@cs.columbia.edu
GEO:40.8098011;-73.9607325
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Columbia University CEPSR Room 620 530 West 120th Street New York NY 10027 United States;X-APPLE-RADIUS=500;X-TITLE=530 West 120th Street:geo:-73.9607325,40.8098011
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180208T100000
DTEND;TZID=America/New_York:20180208T120000
DTSTAMP:20260420T202302
CREATED:20180118T204107Z
LAST-MODIFIED:20180207T172109Z
UID:1621-1518084000-1518091200@nycdh.org
SUMMARY:R for Text Analysis
DESCRIPTION:In this workshop\, we will use R for text analysis\, with a focus on the Tidy Text approach within the Tidytext framework. Your insights will be visualized and can also be turned into an interactive without any web coding skills\, using Shiny R. The workshop is open to anyone with an interest in this topic. No prior experience in R is needed. \nLEVEL: Beginner\nNOTES: Laptop computer with WIFI; paper and pen for sketching and note taking. You don’t need R and R Studio installed prior to the workshop\, but it would help to do so. The workshop will be an online interactive.
URL:https://nycdh.org/dhweek/event/r-for-text-analysis/
LOCATION:Studio@Butler\, 535 W. 114th St.\, New York\, NY\, 10027\, United States
CATEGORIES:Beginner,Statistics,Text Analysis
ORGANIZER;CN="Joshua Korenblat":MAILTO:korenblj@newpaltz.edu
GEO:40.8064029;-73.9632198
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Studio@Butler 535 W. 114th St. New York NY 10027 United States;X-APPLE-RADIUS=500;X-TITLE=535 W. 114th St.:geo:-73.9632198,40.8064029
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180207T160000
DTEND;TZID=America/New_York:20180207T180000
DTSTAMP:20260420T202302
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:20180207T150000
DTEND;TZID=America/New_York:20180207T170000
DTSTAMP:20260420T202302
CREATED:20180118T202251Z
LAST-MODIFIED:20180207T172137Z
UID:1599-1518015600-1518022800@nycdh.org
SUMMARY:Analyzing Twitter Data for Beginners
DESCRIPTION:Interested in analyzing conversations on Twitter but don’t know where to start? This workshop will demonstrate how to use TAGS <https://tags.hawksey.info/get-tags/>\, an open source tool developed by Martin Hawksey to collect and visualize Twitter data as it happens. Aimed at novice users\, this session will experiment with small datasets generated from Twitter conversations under specific hashtags. All that is needed to participate is a Twitter account\, a Gmail account\, and a personal laptop. Resources regarding the restrictions and ethics of working with social media data will also be presented. \nLEVEL: Beginner\nNOTES: Bring your own laptop. Must have your own Twitter & Gmail accounts to participate.
URL:https://nycdh.org/dhweek/event/analyzing-twitter-data-for-beginners/
LOCATION:Fordham Lincoln Center\, Quinn Library Room 234\, 113 W 60th Street\, New York\, NY\, 10023\, United States
CATEGORIES:Beginner,Social Media,Text Analysis
ORGANIZER;CN="Tierney Gleason":MAILTO:tgleason11@fordham.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180207T100000
DTEND;TZID=America/New_York:20180207T120000
DTSTAMP:20260420T202302
CREATED:20180122T194248Z
LAST-MODIFIED:20180123T184557Z
UID:1695-1517997600-1518004800@nycdh.org
SUMMARY:Thinking Through Word Embeddings
DESCRIPTION:Word embeddings are a family of algorithms that can be remarkably effective at representing the meanings of words\, and their relationships to each other. We’ll cover the basics of word embeddings: what they do\, how to train a model using word2vec\, and how to use them to search for synonyms and analogies. And we’ll look at issues more specific to the humanities and social sciences\, including how to compare models trained on different sets of texts to each other\, when to use word2vec vs topic models\, and strategies for visualizing models. Finally\, we’ll talk about the social biases embodied in the space of language models\, both as a technical problem with solutions and as an opportunity for algorithmic criticism. \nHands-on analysis and visualization will be done editing pre-written scripts in the R statistical environment; no prior programming experience is necessary. We’ll distribute several pre-trained models at the workshop\, but you can try to train one on your own texts ahead of time as well. \nLEVEL: Beginner\nNOTES: Laptop with R and Rstudio programs installed required. Instructions available.
URL:https://nycdh.org/dhweek/event/thinking-through-word-embeddings/
LOCATION:Babble Lab @ Pace University\, Room 1105\, 163 William St.\, New York\, NY\, 10038\, United States
CATEGORIES:Beginner,R,Statistics,Text Analysis,Visualization
ORGANIZER;CN="Ben Schmidt":MAILTO:bmschmidt@gmail.com
GEO:40.710219;-74.00619
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Babble Lab @ Pace University Room 1105 163 William St. New York NY 10038 United States;X-APPLE-RADIUS=500;X-TITLE=163 William St.:geo:-74.00619,40.710219
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180206T140000
DTEND;TZID=America/New_York:20180206T160000
DTSTAMP:20260420T202302
CREATED:20180118T193832Z
LAST-MODIFIED:20180130T203612Z
UID:1572-1517925600-1517932800@nycdh.org
SUMMARY:Building a Text Analysis Pipeline with Python
DESCRIPTION:This workshop will show participants how to use the Python and the Natural Language Toolkit to load a plaintext document\, split it into paragraphs/sentences/words\, and retrieve dictionary headwords and part-of-speech information for the words in the document. We will then create charts and visualizations for the feature counts. \nLEVEL: Beginner/Intermediate\nNOTES: Bring personal laptop; required to have Python3
URL:https://nycdh.org/dhweek/event/building-a-text-analysis-pipeline-with-python/
LOCATION:Pace University\, 1 Pace Plaza\, E101\, 1 Pace Plaza\, New York\, 10038
CATEGORIES:Beginner,Intermediate,Python,Text Analysis,Visualization
ORGANIZER;CN="Patrick J. Burns":MAILTO:patrick.j.burns@nyu.edu
GEO:40.7109684;-74.0047403
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Pace University 1 Pace Plaza E101 1 Pace Plaza New York 10038;X-APPLE-RADIUS=500;X-TITLE=1 Pace Plaza:geo:-74.0047403,40.7109684
END:VEVENT
END:VCALENDAR