Using social media and personality traits to assess software developers' emotions release_fw5abv3yxzac3mfkwzrrk3wgry

Abstract

Companion DATA Title: Using social media and personality traits to assess software developers' emotions Authors: Leo Moreira Silva Marília Gurgel Castro Miriam Bernardino Silva Milena Nestor Santos Uirá Kulesza Margarida Lima Henrique Madeira Journal: PeerJ Computer Science ------------------------------------------------------------ The folders contain: /analysis analyzed_tweets_by_psychologists.csv: file containing the manual analysis done by psychologists analyzed_tweets_by_participants.csv: file containing the manual analysis done by participants analyzed_tweets_by_psychologists_solved_divergencies.csv: file containing the manual analysis done by psychologists over 51 divergent tweets' classifications /dataset alldata.json: contains the dataset used in the paper /ethics_committee committee_response.pdf: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra. committee_submission_form.pdf: the project submitted to the committee. consent_form.pdf: declaration of free and informed consent fulfilled by participants. data_protection_declaration.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation. /notebooks General - Charts.ipynb: notebook file containing all charts produced in the study, including those in the paper Statistics - Lexicons and Ensembles.ipynb: notebook file with the statistics for the five lexicons and ensembles used in the study Statistics - Linear Regression.ipynb: notebook file with the multiple linear regression results Statistics - Polynomial Regression.ipynb: notebook file with the polynomial regression results Statistics - Psychologists versus Participants.ipynb: notebook file with the statistics between the psychologists and participants manual analysis Statistics - Working x Non-working.ipynb: notebook file containing the statistical analysis for the tweets posted during work period and those posted outside of working period /survey [...]
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