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UID:7035
SUMMARY:TRIADS Training Series: Introduction to Text Analysis in Python Series
DTSTART:20260415T163000Z
DTSTAMP:20251027T155839Z
LAST-MODIFIED:20260414T125652Z
SEQUENCE:0
RRULE:FREQ=WEEKLY;UNTIL=20260415T180000Z;WKST=SU;BYDAY=MO,WE
DESCRIPTION:\nThis four-session course will provide participants with an introduction to the quantitative analysis of textual data using Python. The course will cover the basics of representing text as numeric data (including text preprocessing\, cleaning\, stemming\, and tokenizing). We will then work through some of the more popular methods for text analysis\, including topic modeling\, word embeddings\, and clustering.\n\n\n\nThis course is intended for graduate students\, faculty\, and staff from any field at WashU who are interested in learning about quantitative text analysis and would like to become familiar with the main libraries and functions used to work with textual data in Python. \n\n\n\nParticipants MUST have basic Python skills to take this class. Participants who have taken the TRIADS beginner Introduction to Python course are encouraged to continue their skills development through this course.\n\n\n\nThis class will be fully in-person\, and participants will use their own laptops.📍 11:30 am‒1:00 pm |John M. Olin Library\, Instruction Room 3\n\n\n\n\nRSVP\n\n\n\n\nDATES OF INTRODUCTION TO TEXT ANALYSIS IN PYTHON SERIES (ALL HELD IN OLIN LIBRARY\, INSTRUCTION ROOM 3 FROM 11:30 AM–1 PM):\n\n\n\n\nMonday\, April 6\n\n\n\nWednesday\, April 8\n\n\n\nMonday\, April 13\n\n\n\nWednesday\, April 15\n\n\n\n\n\n
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