Abstract
Hidradenitis suppurativa (HS) is an orphan, underdiagnosed and painful disease of the skin that has a considerable negative impact on quality of life and on emotional well-being. As reported by the italian HS patients’ association (Inversa Onlus), this condition brings patients to develop an emotional closure with the consequence that they often don’t talk about their condition with anybody. In this paper we discuss some results obtained by applying automatic emotion detection and social network analysis techniques on the Facebook group of the Inversa Onlus association. In particular, we analyze the patients’ emotional states, as expressed by the post published from 2010 to 2016, and how these emotions are influenced by friendships in the group, during the years.
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Bettoli, V., Pasquinucci, S., Caracciolo, S., Piccolo, D., Cazzaniga, S., Fantini, F., Binello, L., Pintori, G., Naldi, L.: The hidradenitis suppurativa patient journey in Italy: current status, unmet needs and opportunities. J. Eur. Acad. Dermatol. Venereol. 30, 1965–1970 (2016)
Parrott, W.G.: Emotions In Social Psychology: Essential Readings. Psychology Press, Hove (2001)
Greene, J.A., Choudhry, N.K., Kilabuk, E., Shrank, W.H.: Online social networking by patients with diabetes: a qualitative evaluation of communication with Facebook. J. Gen. Intern. Med. 26, 287–292 (2011)
Greaves, F., Ramirez-Cano, D., Millett, C., Darzi, A., Donaldson, L.: Harnessing the cloud of patient experience: using social media to detect poor quality healthcare. BMJ Qual. Saf. 22, 251–255 (2013)
Liu, B.: Sentiment analysis and opinion mining. Synth. Lect. Hum. Lang. Technol. 5, 1–167 (2012)
Mohammad, S.M.: Sentiment analysis: detecting valence, emotions, and other affectual states from text. In: Emotion Measurement, pp. 201–238 (2015)
Kao, E.C.C., Liu, C.C., Yang, T.H., Hsieh, C.T., Soo, V.W.: Towards text-based emotion detection a survey and possible improvements. In: International Conference on Information Management and Engineering, 2009. ICIME 2009, pp. 70–74. IEEE (2009)
Franchi, E., Poggi, A., Tomaiuolo, M.: Social media for online collaboration in firms and organizations. Int. J. Inf. Syst. Model. Des. (IJISMD) 7, 18–31 (2016)
Angiani, G., Fornacciari, P., Iotti, E., Mordonini, M., Tomaiuolo, M.: Models of participation in social networks. In: Social Media Performance Evaluation and Success Measurements, p. 196 (2016)
Dumais, S., Chen, H.: Hierarchical classification of web content. In: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 256–263. ACM (2000)
Silla Jr., C.N., Freitas, A.A.: A survey of hierarchical classification across different application domains. Data Min. Knowl. Discov. 22, 31–72 (2011)
Addis, A., Armano, G., Vargiu, E.: A progressive filtering approach to hierarchical text categorization. Commun. SIWN 5, 28–32 (2008)
Angiani, G., Cagnoni, S., Chuzhikova, N., Fornacciari, P., Mordonini, M., Tomaiuolo, M.: Flat and hierarchical classifiers for detecting emotion in tweets. In: Adorni, G., Cagnoni, S., Gori, M., Maratea, M. (eds.) AI*IA 2016. LNCS (LNAI), vol. 10037, pp. 51–64. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-49130-1_5
Ghazi, D., Inkpen, D., Szpakowicz, S.: Hierarchical approach to emotion recognition and classification in texts. In: Farzindar, A., Kešelj, V. (eds.) AI 2010. LNCS (LNAI), vol. 6085, pp. 40–50. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13059-5_7
Chen, J., Huang, H., Tian, S., Qu, Y.: Feature selection for text classification with naïve bayes. Expert Syst. Appl. 36, 5432–5435 (2009)
Onderdijk, A., Van der Zee, H., Esmann, S., Lophaven, S., Dufour, D., Jemec, G., Boer, J.: Depression in patients with hidradenitis suppurativa. J. Eur. Acad. Dermatol. Venereol. 27, 473–478 (2013)
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Lombardo, G., Ferrari, A., Fornacciari, P., Mordonini, M., Sani, L., Tomaiuolo, M. (2018). Dynamics of Emotions and Relations in a Facebook Group of Patients with Hidradenitis Suppurativa. In: Guidi, B., Ricci, L., Calafate, C., Gaggi, O., Marquez-Barja, J. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-319-76111-4_27
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DOI: https://doi.org/10.1007/978-3-319-76111-4_27
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