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Analyzing emotion words to predict severity of software bugs

Research article (Proceedings of the Symposium on Applied Computing, 2017) · cited 30× · AI/ML
academia openalex:W2617659182
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Analyzing emotion words to predict severity of software bugs

Summary

Analyzing emotion words to predict severity of software bugs is a scholarly article[1].

Key Facts

  • Analyzing emotion words to predict severity of software bugs's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Analyzing emotion words to predict severity of software bugs. Retrieved May 24, 2026, from https://4ort.xyz/entity/analyzing-emotion-words-to-predict-severity-of-software-bugs
MLA “Analyzing emotion words to predict severity of software bugs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analyzing-emotion-words-to-predict-severity-of-software-bugs.
BibTeX @misc{4ortxyz_analyzing-emotion-words-to-predict-severity-of-software-bugs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analyzing emotion words to predict severity of software bugs}}, year = {2026}, url = {https://4ort.xyz/entity/analyzing-emotion-words-to-predict-severity-of-software-bugs}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analyzing emotion words to predict severity of software bugs — https://4ort.xyz/entity/analyzing-emotion-words-to-predict-severity-of-software-bugs (retrieved 2026-05-24)

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