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DTSTART:20070311T020000
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DTSTAMP:20260610T151354
DTSTART;TZID=America/Detroit:20260724T100000
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SUMMARY:Class / Instruction:Natural Language Processing with R
DESCRIPTION:Founded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online. \n\nClasses are open for registration.\nYou do not have to be affiliated with the University to attend. \nRegistration and payment are required a minimum of two weeks prior to the start of the class. \n\nJuly 20-30\, 2026 (M T TH: Live instruction\; W: Video instruction)\n10:00am-11:30am\nNatural Language Processing with R\nPresented by Robyn Ferg\nCourse Fee: $1\,200\n\nIn this two-week course\, students will learn a variety of natural language processing methods for analyzing and extracting meaning from text data. The course will start with an introduction to text data\, including text preprocessing and exploratory methods. The topics that follow will include machine learning models used for topic modeling\, clustering\, classification\, sentiment analysis\, and word embeddings. Students will also be introduced to web scraping. Considerations to both long and short texts of various subject matter. Class examples will be demonstrated primarily in R. This course assumes a bachelors-level background in Statistics or related field and knowledge of R or Python\; no prior knowledge of text analysis is assumed.\n\nRobyn Ferg is a senior statistician at Westat. Her doctoral and postdoctoral research focused on developing methods for extracting insights from social media data. She has taught graduate and short courses at the Joint Program in Survey Methodology (University of Maryland) and given talks on text analysis at the Census Bureau\, University of Maryland\, University of Michigan\, Michigan State University\, and several national and international conferences. She has published original research on this topic in several peer reviewed journals. She has a PhD in Statistics from the University of Michigan.
UID:148814-21904797@events.umich.edu
URL:https://events.umich.edu/event/148814
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data,Data Analysis,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,Graduate and Professional Students,Mathematics,Online,Statistics,Survey Methodology,Survey Methods,Survey Research
LOCATION:Off Campus Location
CONTACT:
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