all AI news
Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub. (arXiv:2102.05737v2 [cs.LG] UPDATED)
Jan. 28, 2022, 2:11 a.m. | Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Qiaozhu Mei
cs.LG updates on arXiv.org arxiv.org
Emotions at work have long been identified as critical signals of work
motivations, status, and attitudes, and as predictors of various work-related
outcomes. When more and more employees work remotely, these emotional signals
of workers become harder to observe through daily, face-to-face communications.
The use of online platforms to communicate and collaborate at work provides
an alternative channel to monitor the emotions of workers. This paper studies
how emojis, as non-verbal cues in online communications, can be used for such …
More from arxiv.org / cs.LG updates on arXiv.org
Regularization by Texts for Latent Diffusion Inverse Solvers
1 day, 6 hours ago |
arxiv.org
When can transformers reason with abstract symbols?
1 day, 6 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Scientist (m/f/x/d)
@ Symanto Research GmbH & Co. KG | Spain, Germany
Data Scientist 3
@ Wyetech | Annapolis Junction, Maryland
Technical Program Manager, Robotics
@ DeepMind | Mountain View, California, US
Machine Learning Engineer
@ Issuu | Braga
Business Intelligence Manager
@ Intuitive | Bengaluru, India
Expert Data Engineer (m/w/d)
@ REWE International Dienstleistungsgesellschaft m.b.H | Wien, Austria