Abstract
In the recent years, social networks have played a strategic role in the lives of many companies. Therefore several decision makers have worked on these networks for making better decisions. Furthermore, the increased interaction between social networks and web users has lead many companies to use a data warehouse to collect information about their fans. This paper deals with a multidimensional schema construction from unstructured data extracted from social network. This construction is carried out from Facebook page in order to analyze customers’ opinions. A real case study has been developed to illustrate the proposed method and confirming that he social network analysis can predict chance of the success of products.
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References
Bringay, S., Béchet, N., Bouillot, F., Poncelet, P., Roche, M., Teisseire, M.: Towards an On-Line Analysis of Tweets Processing. In: Hameurlain, A., Liddle, S.W., Schewe, K.-D., Zhou, X. (eds.) DEXA 2011, Part II. LNCS, vol. 6861, pp. 154–161. Springer, Heidelberg (2011)
Baralis, E., Cerquitelli, T., Chiusano, S., Grimaudo, L., Xiao, X.: Analysis of Twitter Data Using a Multiple-level Clustering Strategy. In: Cuzzocrea, A., Maabout, S. (eds.) MEDI 2013. LNCS, vol. 8216, pp. 13–24. Springer, Heidelberg (2013)
Jaganadh, G.: Opinion Mining and Sentiment Analysis, CSI Communications (2012)
Kazienko, P., Kukla, E., Musial, K., Kajdanowicz, T., Bródka, P., Gaworecki, J.: A generic model for a multidimensional temporal social network. In: Yonazi, J.J., Sedoyeka, E., Ariwa, E., El-Qawasmeh, E. (eds.) ICeND 2011. CCIS, vol. 171, pp. 1–14. Springer, Heidelberg (2011)
Laura, P., Jorge, C.A.: Sentiment Analysis in Business Intelligence: A survey. In: Customer Relationship Management and the Social and Semantic Web. IGI-Global (2011)
Mansmann, S., Rehman, N.U., Weiler, A., Scholl, M.H.: Discovering OLAP dimensions in semi-structured data. Information Systems (2013)
Moya, L.G., Kudama, S., Aramburu, J., Llavori, R.B.: Integrating Web Feed Opinions into a Corporate Data Warehouse. In: Proceedings of the 2nd International Workshop on Business Intelligence and the WEB BEWEB, New York (2011)
Nabli, A.: Thesis: Proposal of an approach of help to the design automated schema of data warehouse (2010)
Rehman, N.U., Mansmann, S., Weiler, A., Scholl, M.H.: Building a data warehouse for twitter stream exploration. IEEE/ACM (2012)
Santos, P., Souza, F., Times, V., Benevenuto, F.: Towards integrating Online Social Networks and Business Intelligence. In: Proceedings of the IADIS International Conference on Web Based Communities and Social Media (2012)
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Moalla, I., Nabli, A. (2014). Towards Data Mart Building from Social Network for Opinion Analysis. In: Corchado, E., Lozano, J.A., Quintián, H., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2014. IDEAL 2014. Lecture Notes in Computer Science, vol 8669. Springer, Cham. https://doi.org/10.1007/978-3-319-10840-7_36
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DOI: https://doi.org/10.1007/978-3-319-10840-7_36
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10839-1
Online ISBN: 978-3-319-10840-7
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