Do you want to learn how to use Python for text-analysis? On the 17th of June, the Digital Competence Centre organizes the Python for text-analysis workshop which is suitable for participants with a broad range of skill levels. Readers who are interested in learning about additional tools and methods for text-mining or text-analysis are encouraged to consult our recently published text-mining guide.

This workshop provides an introduction to manipulating, parsing and analyzing textual data in Python, with some time dedicated to basic concepts in the Python language. Participants in this workshop will learn how to use manual techniques and the Natural Language Toolkit (NLTK) to perform segmentation, tokenization, and techniques to analyze text based on this information. This could mean, for example, identifying the individual sentences and paragraphs in a text, labeling all words with a part-of-speech tag, and analyzing word-frequency or co-occurrence statistics for all identified nouns. As a case-study, participants will perform a sentiment analysis (similar to the concept of valence) to quantify properties of the text that can be related to aspects of its emotional content. After this workshop, participants will be prepared to further develop their programming skills individually, and they will be able to write and automate simple text processing steps that can be integrated into a larger workflow.

For additional information concerning workshops on text-mining and other topics related to digital research methods, Radboud community members with a "U-number" may browse our (under development) course offerings in the Digital Competence Centre channel on gROW. A PDF catalogue of course and workshop offerings at the Digital Competence Centre is also in development and will be shared when available.