Workshop - New Analysis Methods and their Implications for Megadata Management in SSH (part 1)

This panel is part of the training Megadata and Advanced Techniques Demystified (session 6).

Humanities and social sciences are often confronted with the analysis of unstructured data, such as text. After preparing the data, several analysis techniques from machine learning can be used. During this workshop, participants will be introduced to pre-processing textual data and supervised and unsupervised methods for analysis purposes with Python.

Workshop structure

  • Part 1: Plenary presentation of Section 1 of the Python script (40 minutes)
  • Part 2: Individual work on Section 2 of the Python script (10 minutes)
  • Part 3: Team work on Section 2 of the Python script (30 minutes)
  • Part 4: Conclusion in plenary (10 minutes)

Whether you have Python programming skills or not, this workshop will allow you to use your knowledge of statistics and data analysis, and to discover the possibilities of automatic natural language processing.

What can you expect? Here's a quick overview!

Note: This workshop continues in a 2nd session on November 10.

This is a bi-modal session that you could attend on site or online.




Bruno Agard
Professeur titulaire au département de mathématiques et de génie industriel à Polytechnique Montréal

Davide Pulizzotto
PhD en Sémiotique et spécialiste en analyse de texte assistée par ordinateur dans le domaine des sciences sociales (Text Mining for Humanities) à Polytechnique Montréal

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This content has been updated on 2022-11-02 at 22 h 45 min.