BurnoutText - Frequent Words in Texts about Burnout, Depression and a Control Group

This dataset was generated in the context of a research project funded by the Swiss National Science Foundation (grant nr. 196483, see data.snf.ch/grants/grant/196483). In this project, new methods from natural language processing are applied to develop new methods for burnout detection in clinical psychology/psychiatry. For details refer to: bfh.ch/en/research/research-projects/2021-288-996-826/ The source data for this derived dataset was collected from Reddit and consists of a "Burnout" dataset with 352 samples, a "No burnout" dataset with 13,216 samples and a "Depression" dataset with 979 samples.

More details about the original dataset can be found in the following publication: doi.org/10.3389/fdata.2022.863100 All contractions were expanded (ex. "I'm" to "I am") using the contractions python library. We used the spacy en-core-web-sm pre-trained English language pipeline to tokenize each text sample, remove stopwords and punctuation, and lemmatize the remaining tokens. For example, the text "I feel like I have been working too much.