Ranking Computer Vision Service Issues using Emotion

04/07/2020
by   Maheswaree K Curumsing, et al.
0

Software developers are increasingly using machine learning APIs to implement 'intelligent' features. Studies show that incorporating machine learning into an application increases technical debt, creates data dependencies, and introduces uncertainty due to non-deterministic behaviour. However, we know very little about the emotional state of software developers who deal with such issues. In this paper, we do a landscape analysis of emotion found in 1,245 Stack Overflow posts about computer vision APIs. We investigate the application of an existing emotion classifier EmoTxt and manually verify our results. We found that the emotion profile varies for different question categories.

READ FULL TEXT
research
01/28/2020

Interpreting Cloud Computer Vision Pain-Points: A Mining Study of Stack Overflow

Intelligent services are becoming increasingly more pervasive; applicati...
research
03/06/2018

A Gold Standard for Emotion Annotation in Stack Overflow

Software developers experience and share a wide range of emotions throug...
research
03/03/2017

EmotioNet Challenge: Recognition of facial expressions of emotion in the wild

This paper details the methodology and results of the EmotioNet challeng...
research
04/22/2023

Deconstructing Sentimental Stack Overflow Posts Through Interviews: Exploring the Case of Software Testing

The analysis of sentimental posts about software testing on Stack Overfl...
research
04/18/2021

Application of Computer Vision and Machine Learning for Digitized Herbarium Specimens: A Systematic Literature Review

Herbarium contains treasures of millions of specimens which have been pr...
research
05/27/2020

Beware the evolving 'intelligent' web service! An integration architecture tactic to guard AI-first components

Intelligent services provide the power of AI to developers via simple RE...
research
11/04/2020

EEGS: A Transparent Model of Emotions

This paper presents the computational details of our emotion model, EEGS...

Please sign up or login with your details

Forgot password? Click here to reset