Presentation

How to automate creating knowledge from written documents is still in its infancy. Largely people still manually read documents in order to extract intelligence. But data science, through its natural language processing field, offers fascinating new techniques to
automate the generation of knowledge from text. This module brings the students on a journey through the practical application of the most business relevant of the techniques in this area.

Topics Covered

  • Extract knowledge from text

  • Apply natural language processing

  • Learn new techniques of topic modelling

  • Measure text sentiment and complexity

Pre-Requisites

  • Successful completion of at least two years of undergraduate studies

  • Strong command of spoken and written English

  • Prior coding experience or attend the “Data Science for Business” module

Public

  • Final year of undergraduate studies or master's students

Teaching Language

  • English

Assessment Method

  • Assessment by means of a group project developed within the class, and daily assessment sheets

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Rennes School of Business
The most international School of Management in Europe
2 rue Robert d'Arbrissel
CS 76522
35065 Rennes Cedex
FRANCE
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Future-proofing business @ Rennes School of Business

 

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AI-driven Business
@ Rennes School of Business
Building 4
15 Rue Professeur Jean Pecker
35000 Rennes
FRANCE
+33 2 99 54 63 63
   michael.dowling@rennes-sb.com

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