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Ranking Computer Vision Service Issues using Emotion

2020/04/07 by Maheswaree Kissoon Curumsing, Alex Cummaudo, Curumsing, Maheswaree K +7
Computer Science · Social Sciences · #FOS: Computer and information sciences #Misinformation and Its Impacts #Sentiment Analysis and Opinion Mining #Software Engineering (cs.SE) #Software Engineering Research

paper · pdf · doi:10.48550/arxiv.2004.03120

openalex publication_date 2020/04/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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