The Impact of Lexicon Adaptation on the Emotion Mining from Software Engineering Artifacts

Michal R. Wrobel
2020 IEEE Access  
Sentiment analysis and emotion mining techniques are increasingly being used in the field of software engineering. However, the experiments conducted so far have not yielded high accuracy results. Researchers indicate a lack of adaptation of the methods of emotion mining to the specific context of the domain as the main cause of this situation. The article describes research aimed at examining whether the adaptation of the lexicon with emotional intensity of words in the context of software
more » ... ext of software engineering improves the reliability of sentiment analysis. For this purpose, a new lexicon is developed in which words are evaluated as if they were used in the field of software engineering. A comparative experiment of emotion mining based on a generic and a software engineering specific lexicon does not reveal any significant differences in the results. INDEX TERMS Affective software engineering, emotional lexicons, emotion mining, emotion recognition, sentiment analysis. 48742 This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ VOLUME 8, 2020
doi:10.1109/access.2020.2979148 fatcat:eiqga6ib6jctrabgqkzjp7524q