Jul 15, 2024
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1h 58min
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315 views
JULIA SILGE: TEXT MINING WITH TIDY DATA PRINCIPLES - MIGUEL HERNÁNDEZ UNIVERSITY
All information about this and the rest of ASEPELT’s congresses is available at https://www.asepelt.org
In this presentation, Julia Silge introduces text-mining methods based on tidy data principles.
The session explores how unstructured text can be transformed into structured datasets for analysis, visualisation and interpretation using reproducible workflows.
It also examines practical applications of text mining in research, including sentiment analysis, term frequency, topic exploration and the communication of results.
In this presentation, Julia Silge introduces text-mining methods based on tidy data principles.
The session explores how unstructured text can be transformed into structured datasets for analysis, visualisation and interpretation using reproducible workflows.
It also examines practical applications of text mining in research, including sentiment analysis, term frequency, topic exploration and the communication of results.
