Text Mining with Python
27 apr. 2021 - 28 apr. 2021
Statistical short course by Leuven Statistics Research Centre
Praktische info:
27 apr. 2021 - 28 apr. 2021
Vandenheuvelinstituut, Dekenstraat 2, 3000 Leuven; 27/04: VHI 01.23 (PC-klas E1); 28/04: VHI 01.23 (PC-klas E1)
Engels
Doelgroep: Python gebruikers met interesse in natural language processing en text data
Leertraject
Inschrijven?
- Inschrijvingen: tot 28 apr. 2022
- Voorwaarden: Basiskennis van Python
- Prijs: KU Leuven studenten €100; KU Leuven medewerkers en andere studenten €160; Non profit/sociale sector €250; Privésector €600
georganiseerd door:
This course is a hands-on course covering the use of text mining tools for the purpose of data analysis. It covers basic text handling, natural language engineering and statistical modelling on top of textual data.
The following items are covered :
- Encodings, cleaning of text data, regular expressions
- Language identification
- String distances
- Graphical displays of text data
- Natural language processing: parts-of-speech tagging, tokenization, lemmatisation, keyword extraction, named-entity-recognition
- Sentiment analysis
- Statistical topic detection modelling using Gensim
- Automatic classification using predictive modelling based on text data
- Word embeddings, document similarities & Text alignment
Lesgever/spreker
Jan Wijffels is the founder of www.bnosac.be - a consultancy company specialised in statistical analysis and data mining. He holds a Master in Commercial Engineering, a MSc in Statistics and a Master in Artificial Intelligence and has been using R for 10 years, developing and deploying R-based solutions for clients in the private sector. He has developed and co-developed the R packages ffbase, ETLUtils, RMOA and RMyrrix.
