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In 2020, we conducted a systematic literature review to explore the development and application of sentiment analysis tools in software engineering. Information on the execution of the SLR, its scope, the search string, etc. are presented in the paper linked below. The updated version contains the results of one more snowballing iteration and extracted information on the accuracy of the used methods.
Machine Learning, Sentiment Analysis, Social Software Engineering, Systematic Literature Review
Machine Learning, Sentiment Analysis, Social Software Engineering, Systematic Literature Review
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 4 | |
| downloads | 24 |

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