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Text Mining

  • Teacher(s):   M.Boldi  
  • Course given in: English
  • ECTS Credits: 6 credits
  • Schedule: Autumn Semester 2019-2020, 4.0h. course (weekly average)
  •  sessions
  • site web du cours course website
  • Related programmes:
    Master of Science (MSc) in Management, Orientation Strategy, Organization and Leadership

    Master of Science (MSc) in Management, Orientation Marketing

    Maîtrise universitaire ès Sciences en management, Orientation Behaviour, Economics and Evolution

    Master of Science (MSc) in Management, Orientation Business Analytics

 

Objectives

Upon completion of the course, the student will be able to

  • Select and apply rigorous text mining methods to the cases covered during the course,
  • Use R to carry out these applications,
  • Analyze and interpret text mining method results.

Contents

This course presents several text mining techniques in a business context. The tentative list of topics below will be adapted according to the pace of the class:

  • Document acquisition (web scraping, encoding, ...) and pre-treatment (stemming, lemmatizing, ...),
  • Frequencies and word embedding (TF-IDF, word2vec, ...),
  • Unsupervised learning (similarities, latent semantic analysis, topic modeling, ...),
  • Supervised learning.

Theory and practice are equally important.

References

No mandatory readings. Useful references will be communicated during the course.

Pre-requisites

No mandatory prerequisites but the course extensively uses machine learning techniques. The students are supposed to know these methods (to the same level as the corresponding course in the master). If not, they are supposed to learn them on their own before the class.

Evaluation

First attempt

Exam:
Without exam (cf. terms)  
Evaluation:

- One individual written exam: 2hrs, organized during the semester.

- One applied project: individual or in groups, depending on the number of participants to the course. A final presentation will be organized during the semester.

Final grade = 0.4 exam + 0.6 project

Retake

Exam:
Oral 0h15 minutes
Documentation:
Allowed with restrictions
Calculator:
Allowed
Evaluation:

One oral exam (100% final grade).



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