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

Abstrakt

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 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.

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
IEEE Access nr 8, strony 48742 - 48751,
ISSN: 2169-3536
Język:
angielski
Rok wydania:
2020
Opis bibliograficzny:
Wróbel M.: The Impact of Lexicon Adaptation on the Emotion Mining From Software Engineering Artifacts// IEEE Access -Vol. 8, (2020), s.48742-48751
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/access.2020.2979148
Bibliografia: test
  1. C. D. Fisher and N. M. Ashkanasy, ''The emerging role of emotions in work life: An introduction,'' J. Org. Behav., vol. 21, no. 2, pp. 123-129, Mar. 2000. otwiera się w nowej karcie
  2. R. A. Calvo and S. D'Mello, ''Affect detection: An interdisciplinary review of models, methods, and their applications,'' IEEE Trans. Affect. Comput., vol. 1, no. 1, pp. 18-37, Jan. 2010. otwiera się w nowej karcie
  3. M. R. Wrobel, ''Emotions in the software development process,'' in Proc. 6th Int. Conf. Hum. Syst. Interact. (HSI), Jun. 2013, pp. 518-523. otwiera się w nowej karcie
  4. D. Graziotin, X. Wang, and P. Abrahamsson, ''Are happy developers more productive?'' in Proc. 14th Int. Conf. PROFES, 2013, pp. 50-64. otwiera się w nowej karcie
  5. I. A. Khan, R. M. Hierons, and W. P. Brinkman, ''Mood independent programming,'' in Proc. 14th Eur. Conf. Cognit. Ergonom. Invent! Explore! (ECCE), 2007, pp. 269-272. otwiera się w nowej karcie
  6. M. R. Wrobel, ''Towards the participant observation of emotions in soft- ware development teams,'' in Proc. Federated Conf. Comput. Sci. Inf. Syst. (FedCSIS), Sep. 2016, pp. 1545-1548. otwiera się w nowej karcie
  7. M. R. Wrobel, ''Applicability of emotion recognition and induction meth- ods to study the behavior of programmers,'' Appl. Sci., vol. 8, no. 3, p. 323, 2018. otwiera się w nowej karcie
  8. E. Cambria, ''Affective computing and sentiment analysis,'' IEEE Intell. Syst., vol. 31, no. 2, pp. 102-107, Mar./Apr. 2016. otwiera się w nowej karcie
  9. L. Yue, W. Chen, X. Li, W. Zuo, and M. Yin, ''A survey of sentiment analysis in social media,'' Knowl. Inf. Syst., 2018, pp. 1-47. otwiera się w nowej karcie
  10. R. Feldman, ''Techniques and applications for sentiment analysis,'' Com- mun. ACM, vol. 56, no. 4, p. 82, Apr. 2013. otwiera się w nowej karcie
  11. B. Liu, ''Sentiment analysis and subjectivity,'' in Handbook of Natural Language Processing, 2nd Ed. London, U.K.: Chapman & Hall, 2010, pp. 627-666.
  12. U. Krcadinac, P. Pasquier, J. Jovanovic, and V. Devedzic, ''Synesketch: An open source library for sentence-based emotion recognition,'' IEEE Trans. Affect. Comput., vol. 4, no. 3, pp. 312-325, Jul. 2013. otwiera się w nowej karcie
  13. F. Calefato, F. Lanubile, F. Maiorano, and N. Novielli, ''Sentiment polarity detection for software development,'' Empirical Softw. Eng., vol. 23, no. 3, pp. 1352-1382, Jun. 2018. otwiera się w nowej karcie
  14. M. R. Islam and M. F. Zibran, ''Leveraging automated sentiment analysis in software engineering,'' in Proc. IEEE/ACM 14th Int. Conf. Mining Softw. Repositories (MSR), May 2017, pp. 203-214. otwiera się w nowej karcie
  15. K. Sailunaz, M. Dhaliwal, J. Rokne, and R. Alhajj, ''Emotion detection from text and speech: A survey,'' Social Netw. Anal. Mining, vol. 8, no. 1, p. 28, Dec. 2018. otwiera się w nowej karcie
  16. A. Murgia, P. Tourani, B. Adams, and M. Ortu, ''Do developers feel emotions? An exploratory analysis of emotions in software artifacts,'' in Proc. 11th Work. Conf. Mining Softw. Repositories (MSR), 2014, pp. 262-271. otwiera się w nowej karcie
  17. A. Yadollahi, A. G. Shahraki, and O. R. Zaiane, ''Current state of text sentiment analysis from opinion to emotion mining,'' ACM Comput. Surv., vol. 50, no. 2, pp. 1-33, May 2017. otwiera się w nowej karcie
  18. R. Jongeling, S. Datta, and A. Serebrenik, ''Choosing your weapons: On sentiment analysis tools for software engineering research,'' in Proc. IEEE Int. Conf. Softw. Maintenance Evol. (ICSME), Sep. 2015, pp. 531-535. otwiera się w nowej karcie
  19. P. Tourani, Y. Jiang, and B. Adams, ''Monitoring sentiment in open source mailing lists: Exploratory study on the apache ecosystem,'' in Proc. 24th otwiera się w nowej karcie
  20. Annu. Int. Conf. Comput. Sci. Softw. Eng., 2014, pp. 34-44. otwiera się w nowej karcie
  21. N. Novielli, F. Calefato, and F. Lanubile, ''The challenges of sentiment detection in the social programmer ecosystem,'' in Proc. 7th Int. Workshop Social Softw. Eng. (SSE), 2015, pp. 33-40. otwiera się w nowej karcie
  22. S. Owsley, S. Sood, and K. J. Hammond, ''Domain specific affective classi- fication of documents,'' in Proc. AAAI Spring Symp., Comput. Approaches Analyzing Weblogs, 2006, pp. 181-183. otwiera się w nowej karcie
  23. M. V. Mäntylä, N. Novielli, F. Lanubile, M. Claes, and M. Kuutila, ''Boot- strapping a lexicon for emotional arousal in software engineering,'' in Proc.
  24. IEEE/ACM 14th Int. Conf. Mining Softw. Repositories. Piscataway, NJ, USA: IEEE Press, May 2017, pp. 198-202. otwiera się w nowej karcie
  25. M. R. Islam and M. F. Zibran, ''SentiStrength-SE: Exploiting domain specificity for improved sentiment analysis in software engineering text,'' J. Syst. Softw., vol. 145, pp. 125-146, Nov. 2018. otwiera się w nowej karcie
  26. J. Ding, H. Sun, X. Wang, and X. Liu, ''Entity-level sentiment analysis of issue comments,'' in Proc. 3rd Int. Workshop Emotion Awareness Softw. Eng. (SEmotion), 2018, pp. 7-13. otwiera się w nowej karcie
  27. B. Lin, F. Zampetti, G. Bavota, M. Di Penta, M. Lanza, and R. Oliveto, ''Sentiment analysis for software engineering: How far can we go?'' in Proc. IEEE/ACM 40th Int. Conf. Softw. Eng., May/Jun. 2018, pp. 94-104. otwiera się w nowej karcie
  28. N. Imtiaz, J. Middleton, P. Girouard, and E. Murphy-Hill, ''Sentiment and politeness analysis tools on developer discussions are unreliable, but so are people,'' in Proc. 3rd Int. Workshop Emotion Awareness Softw. Eng. (SEmotion), 2018, pp. 55-61. otwiera się w nowej karcie
  29. E. Cambria, B. Schuller, Y. Xia, and C. Havasi, ''New avenues in opin- ion mining and sentiment analysis,'' IEEE Intell. Syst., vol. 28, no. 2, pp. 15-21, Mar. 2013. otwiera się w nowej karcie
  30. L. Gatti, M. Guerini, and M. Turchi, ''SentiWords: Deriving a high preci- sion and high coverage lexicon for sentiment analysis,'' IEEE Trans. Affect. Comput., vol. 7, no. 4, pp. 409-421, Oct. 2016. otwiera się w nowej karcie
  31. M. M. Bradley and P. J. Lang, ''Affective norms for english words (anew): Instruction manual and affective ratings,'' Center Research Psychophysi- ology, Univ. Florida, Gainesville, Fl, USA, Tech. Rep. C-1, 1999.
  32. A. Kołakowska, A. Landowska, M. Szwoch, W. Szwoch, and M. R. Wrobel, ''Modeling emotions for affect-aware applications,'' Inf. Syst. Develop. Appl., pp. 55-67, Jan 2015. [Online]. Available: http://wzr.ug.edu.pl/nauka/upload/files/Information%20systems%20 development%20and%20applications.pdf#page=55 otwiera się w nowej karcie
  33. A. Landowska, ''Towards new mappings between emotion representation models,'' Appl. Sci., vol. 8, no. 2, p. 274, 2018. otwiera się w nowej karcie
  34. I. Salman, A. T. Misirli, and N. Juristo, ''Are students representatives of professionals in software engineering experiments?'' in Proc. 37th Int. Conf. Softw. Eng., vol. 1. Piscataway, NJ, USA: IEEE Press, May 2015, pp. 666-676. otwiera się w nowej karcie
  35. F. Jurado and P. Rodriguez, ''Sentiment analysis in monitoring software development processes: An exploratory case study on Github's project issues,'' J. Syst. Softw., vol. 104, pp. 82-89, Jun. 2015. otwiera się w nowej karcie
  36. M. M. Bradley and P. J. Lang, ''Measuring emotion: The self-assessment manikin and the semantic differential,'' J. Behav. Therapy Experim. Psy- chiatry, vol. 25, no. 1, pp. 49-59, Mar. 1994. otwiera się w nowej karcie
  37. D. Graziotin, X. Wang, and P. Abrahamsson, ''Understanding the affect of developers: Theoretical background and guidelines for psychoempirical software engineering,'' in Proc. 7th Int. Workshop Social Softw. Eng. (SSE), 2015, pp. 25-32. otwiera się w nowej karcie
  38. P. S. Dodds and C. M. Danforth, ''Measuring the happiness of large- scale written expression: Songs, blogs, and presidents,'' J. Happiness Stud., vol. 11, no. 4, pp. 441-456, Aug. 2010. otwiera się w nowej karcie
  39. A. Neviarouskaya and M. Aono, ''Sentiment word relations with affect, judgment, and appreciation,'' IEEE Trans. Affect. Comput., vol. 4, no. 4, pp. 425-438, Oct./Dec. 2013. otwiera się w nowej karcie
  40. MICHAL R. WROBEL was born in Gdynia, Poland, in 1978. He received the M.S. and engineering degrees in computer science from the Gdańsk University of Technology, Poland, in 2002, and the Ph.D. degree in computer sci- ence from the Gdańsk University of Technology, in 2011. Since 2006, he has been with the Faculty of Electronics, Telecommunications and Informat- ics, Department of Software Engineering, Gdańsk University of Technology. He is currently a member of the Emotions in HCI Research Group, where he conducts research on the software usability, affec- tive computing, and software management methods. His research interest includes a modern approach to software development management, with a particular focus on the role of the human factors in software engineering.
Weryfikacja:
Politechnika Gdańska

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