Textual Analysis using Python for HSS - TextBlob

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  • Instructor:  Yashar Monfared
  • Level: Beginner
  • Duration: 3 hours
  • Helpers: Pier-Luc St. Onge, Meghan Landry, Caroline Baril, Sarah Cameron-Pesant
  • Date:  March 10, 2026 | 1:00 - 4:00 pm (Atlantic)
  • Prerequisite: Introduction to Python & Coding for HSS
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COURSE DESCRIPTION
This is the third part of a four-part series for humanities and social sciences researchers (HSS) and librarians. 

Textual Analysis using TextBlob focuses enables participants to apply basic coding concepts to text-based analysis. We will use a Python library to import, analyze, explore, and manipulate textual datasets and learn about common natural language processing (NLP) techniques like n-grams and NLP tasks such as word tokenization, parsing, frequency detection, spelling correction, sentiment analysis, classification, and more to explore meaningful trends in language patterns.

It is highly recommended that you complete the 2-part Python series, Introduction to Python & Coding for HSS - Part I & II in the HSS Python Series, before registering for this session. 

You do not need any previous knowledge of the tools that will be presented.

You need a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc) on which you have administrative privileges, as you may need to pre-load specific software packages.

SETUP REQUIREMENTS
  • See instructions for how to download and setup Python here.

Meet your teaching team

Yashar Monfared

Instructor

Digital Training Specialist
Ph.D. Electrical and Computer Engineering, Dalhousie University

Yashar joined ACENET in 2023 and is based in Nova Scotia. With a Ph.D. from Dalhousie University in Electrical and Computer Engineering, he has extensive experience managing research projects, developing curriculum, and teaching in various disciplines. His research focused on optical systems, nanomaterials, and their applications in various fields. Yashar has secured academic grants, published over 40 research articles, and instructed courses at multiple universities.

Meghan Landry

Helper

Humanities & Social Sciences Research Specialist
Meghan Landry is the Humanities & Social Sciences (HSS) Research Specialist with ACENET, and one of the Alliance HSS National Team Leads. She possesses an MLIS from McGill University and a BA in English Literature from UPEI. She joined ACENET from St. Francis Xavier University where she was the Scholarly Communications Librarian. Meghan specializes in working with sensitive data, digital humanities, and research data management. She is still based at StFX University, but serves all of Atlantic Canada and is active in national and regional humanities & social sciences initiatives.

ACENET
We are an Atlantic Canadian not-for-profit providing access to advanced digital research infrastructure, expertise, support and training to academic, industry and government researchers. Learn more about ACENET

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