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BEGIN:VEVENT
DTSTART:20211103T180000Z
DTEND:20211103T190000Z
DTSTAMP:20211103T000000Z
SUMMARY:Performing Text Analysis in JSTOR
DESCRIPTION: \n\nThe demand for text data analysis is growing 
 exponentially. By utilizing Constellate\, JSTOR’s Text & Data Mining 
 (TDM) platform\, users will have access to an online platform where they 
 can learn text analytics\, build datasets across multiple content sources\, 
 as well as visualize and analyze their datasets. In this workshop\, we 
 will\n\n\n	go through the workflow of extracting texts from Constellare 
 using text data under the category of Environment studies\;\n	learn basic 
 concepts in text analysis\, such as JSON format\, stop-words\, N-grams\, 
 and term frequency\;\n	conduct term frequency analysis on the extracted 
 data and create your own wordcloud in Python Jupyter Notebook.\n
ORGANIZER;CN="Digital Scholarship":MAILTO:jiebei.luo@bc.edu
CATEGORIES:Data/GIS, Digital Scholarship
CONTACT;CN="Digital Scholarship":MAILTO:jiebei.luo@bc.edu
STATUS:CONFIRMED
UID:LibCal-8160279
URL:https://libcal.bc.edu/event/8160279
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