Anyone interested in Text Mining and Topic modeling techniques on unstructured data.

Aimed at:

Delivery method:

Interactive classroom training combining theory with practical exercises

Prerequisites:

Required preparation:

Basic programming skills

Bring a laptop with Python installed.

2 hours

Foundation

Duration:

Skill level:

Prefered group size:

+/-10 participants per trainer

Course description

The course provides an introduction to exploiting patterns in large sets of unstructured data, using Topic Modeling. Topic modeling can be applied on unstructured data (e.g., texts and images) to exploit patterns as similar compositions of features in data. With this training you will learn the basics of topic modeling and you will get familiar with applying the most popular topic model in Python.

Learning objective

Upon completion of this training, participants will be able to perform preprocessing techiques for unstructured data, apply topic models, and understand the basics of topic modeling, as well as gibbs sampling.