PROGRAM
1. Text Mining (July 15 - 19 2024) - taught in English
Lecturers
Francisco Villarroel Ordenes (LUISS)
Ernesto Cardamone (University of Calabria)
Entry skills required
None in particular
Program outline
– Introduction to text mining: At the intersection between big data and linguistics
– Natural Language Processing: Syntax, semantics and data preprocessing
– Dictionary approaches: Use of existing dictionaries and development of customized ones
– Supervised learning: Classifications of documents into predefined categories
– Unsupervised approaches: Text clustering and topic extraction
– Application exercises with Knime Analytics and R
General information
Places available for each school: minimum 12, maximum 20.
Timing: classes start at 9.00 and end at 18.00, with lunch break from 13.00 to 14.30. The class of Friday ends at 16.30.
The participation certificate will be released with a minimum attendance of at least 80% of the total number of hours.