Abstract
Collaborative web applications are widely used in enterprises to support work in virtual teams. Here, monitoring mood is essential for team managers to intervene and restore optimal working conditions to ensure work success. To retrieve mood information from natural language communication, sentiment analysis techniques are necessary. This, however, requires expertise and is time-consuming if done individually for each web application. In this paper, we present TCAS which supports developers of collaborative web applications to leverage sentiment analysis for team climate assessment.
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Cappiello, C., Matera, M., Picozzi, M., Sprega, G., Barbagallo, D., Francalanci, C.: DashMash: A Mashup Environment for End User Development. In: Auer, S., Díaz, O., Papadopoulos, G.A. (eds.) ICWE 2011. LNCS, vol. 6757, pp. 152–166. Springer, Heidelberg (2011)
Dodds, P.S., et al.: Temporal patterns of happiness and information in a global social network: Hedonometrics and twitter. PLoS One 6(12) (12 2011)
Fisher, C.D.: Mood and emotions while working: missing pieces of job satisfaction? Journal of Organizational Behavior 21(2), 185–202 (2000)
Kelly, J., Barsade, S.: Mood and Emotions in Small Groups and Work Teams. Organizational Behavior and Human Decision Processes 86(1), 99–130 (2001)
Malinský, R., Jelínek, I.: Improvements of Webometrics by Using Sentiment Analysis for Better Accessibility of the Web. In: Daniel, F., Facca, F.M. (eds.) ICWE 2010. LNCS, vol. 6385, pp. 581–586. Springer, Heidelberg (2010)
Morinaga, S., et al.: Mining product reputations on the web. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2002, pp. 341–349. ACM, New York (2002)
Schiffer, B.: Agile Management Innovations: A Primer. Agile Product & Project Management 14(1) (2013)
Smith, F.J., Kerr, W.A.: Turnover factors as assessed by the exit interview. Journal of Applied Psychology 37(5), 352–355 (1953)
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Heil, S., Drechsel, M., Gaedke, M. (2015). Supporting the Developmentof Team-Climate-Aware Collaborative Web Applications. In: Cimiano, P., Frasincar, F., Houben, GJ., Schwabe, D. (eds) Engineering the Web in the Big Data Era. ICWE 2015. Lecture Notes in Computer Science(), vol 9114. Springer, Cham. https://doi.org/10.1007/978-3-319-19890-3_52
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DOI: https://doi.org/10.1007/978-3-319-19890-3_52
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