Using social media and personality traits to assess software developers' emotions
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下载链接：
https://zenodo.org/record/6360824
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资源简介：
Companion DATA of the paper "Using social media and personality traits to assess software developers’ emotions" submitted to the IEEE Access journal, 2022.
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
/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: 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
/surveys
Demographic_Survey.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts
Demographic_Survey_answers.xlsx: participants' demographic survey answers
ibf_pt_br.doc: the Portuguese version of the Big Five Inventory (BFI) instrument to infer participants' Big Five polarity traits
ibf_answers.xlsx: participantes' and psychologists' answers for BFI
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We have removed from dataset any sensible data to protect participants' privacy and anonymity.
We have removed from demographic survey answers any sensible data to protect participants' privacy and anonymity.
创建时间：
2022-03-22
