NSC-R Workshops: Text analysis in R

Anthony Dixon

Much information is stored as free-text. Free-text is weakly structured and therefore hard to extract and organize. This workshop will explore some elements of working with free-text data in R, principally how it can be prepared and transformed to be used with machine learning algorithms.

Join this workshop meeting on Zoom by clicking this link

Anthony Dixon is a postgraduate researcher at the University of Leeds, working in the School of Law and the Leeds Institute of Data Analytics. The topic of his thesis is ‘Improving Problem-oriented policing with Natural Language Processing’, which seeks to explore the use of state-of-the-art deep learning models to automatically extract information from police free-text data. Additionally he has joint published a number of papers covering crime changes as a result of the covid-19 pandemic.

Materials

You can download the materials used in the workshop here.

Citation

For attribution, please cite this work as

Dixon (2022, Feb. 3). NSC-R Workshops: Text analysis in R. Retrieved from https://nscrweb.netlify.app/posts/2022-02-03-text-analysis-in-r/

BibTeX citation

@misc{dixon2022text,
  author = {Dixon, Anthony},
  title = {NSC-R Workshops: Text analysis in R},
  url = {https://nscrweb.netlify.app/posts/2022-02-03-text-analysis-in-r/},
  year = {2022}
}