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Text Analysis for Beginners

Do you have a textual data for qualitative analysis! This session is perfect for anyone looking to transform unstructured text data into meaningful insights.

Key topics include:

  • Introduction to text analysis: What is it and why it matters?
  • Reading and preprocessing text: Cleaning and preparing data for analysis.
  • Extracting insights like word frequency and word count.
  • Tools and techniques: Overview of Python libraries (e.g., NLTK) and other user-friendly platforms
  • Hands-on work with actual text data in the class using python notebooks

By the end of the workshop, you’ll have a foundational understanding of text mining concepts and practical experience working with basic tools and techniques. Whether you’re a student, researcher, or professional, this workshop will equip you with the skills to start your text analysis journey!

Duration: 60 min
Prerequisites: Basic familiarity with computers; programming knowledge is helpful but not required.

Related LibGuide: Text Analysis by Kate Boyd

Date:
Thursday, September 4, 2025
Time:
2:20pm - 3:20pm
Time Zone:
Eastern Time - US & Canada (change)
Location:
L104, Level 1 Multimedia Classroom
Sponsor:
Digital Research Services
Audience:
  Some Familiarity with the Topic  
Categories:
  Artificial Intelligence     SHARPGrads Elective     Text and Data Mining & Analysis  

Registration is required. There are 22 seats available.

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