Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub

no code implementations • 10 Feb 2021 • Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Qiaozhu Mei

This paper studies how emojis, as non-verbal cues in online communications, can be used for such purposes and how the emotional signals in emoji usage can be used to predict future behavior of workers.

Management

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications

1 code implementation • 13 Jan 2021 • Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu

In contrast, faults related to the deployment of DL models on mobile devices (named as deployment faults of mobile DL apps) have not been well studied.

Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study

no code implementations • 2 May 2020 • Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu

Deep learning (DL) becomes increasingly pervasive, being used in a wide range of software applications.

Software Engineering

SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering

1 code implementation • 4 Jul 2019 • Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu

However, commonly used out-of-the-box sentiment analysis tools cannot obtain reliable results on SE tasks and the misunderstanding of technical jargon is demonstrated to be the main reason.

Representation Learning Sentiment Analysis

A First Look at Emoji Usage on GitHub: An Empirical Study

1 code implementation • 12 Dec 2018 • Xuan Lu, Yanbin Cao, Zhenpeng Chen, Xuanzhe Liu

We find that emojis are used by a considerable proportion of GitHub users.

Computers and Society Software Engineering