2026-10-14T04:38:09Z https://admin.olos.swiss/oai-info/oai-provider/oai

oai:olos.swiss:olos:4fe0f340-757b-450f-8373-7f2a57a3b7ad 2026-01-20T11:07:13Z doi-registration orgunit

BurnoutText - Frequent Words in Texts about Burnout, Depression and a Control Group Nath, Sukanya Puttick, Alexandre Merhbene, Ghofrane Kurpicz-Briki, Mascha OLOS, OLOS 2022 Issued: 2022-06-21T00:00:00Z Collected: 2021-03-01T00:00:00Z/2022-05-31T00:00:00Z Created: 2022-06-15T07:42:17Z Updated: 2022-07-01T08:53:09Z Accepted: 2022-06-22T08:03:11Z doi:10.34914/olos:kfp3d6vg6fgvra7khhrg2xqdsy https://olos.swiss/portal//archives/4fe0f340-757b-450f-8373-7f2a57a3b7ad 738e629f-4cf7-46b1-aa85-6a63cf336261 burnout natural language processing machine learning augmented intelligence ensemble classifier psychology mental health This dataset was generated in the context of a research project funded by the Swiss National Science Foundation (grant nr. 196483, see https://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: https://www.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: https://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. Everything is exhausting." would be converted to "feel like work exhausting". The dataset presented here was then compiled by counting the top 20 lemmatized tokens in each of the classes (Burnout, No burnout and Depression). The words are ordered from more frequent to less frequent. DATASET text/xml text/csv PUBLIC https://www.dlcm.ch/access-level/final BLUE https://www.dlcm.ch/data-tag Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/