Data warehouse design approaches from social media: review and comparison
| Autor: | Mohamed Hammami, Ahlem Nabli, Lotfi Bouzguenda, Imen Moalla |
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| Rok vydání: | 2017 |
| Předmět: |
Knowledge management
business.industry Computer science Communication Online analytical processing Sentiment analysis Dimensional modeling 02 engineering and technology Data science Data warehouse Computer Science Applications Human-Computer Interaction 020204 information systems Schema (psychology) Business intelligence 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Social media business Database transaction Information Systems |
| Zdroj: | Social Network Analysis and Mining. 7 |
| ISSN: | 1869-5469 1869-5450 |
| DOI: | 10.1007/s13278-017-0423-8 |
| Popis: | With the rise of social media in our life, several decision makers have worked on these networks to make better decisions. In order to benefit from the data issued from these media, many researchers focused on helping companies understand how to perform a social media competitive analysis and transform these data into knowledge for decision makers. A high number of users interact at any time on different ways in social media such as by expressing their opinions about products, services or transaction related to the organization which can prove very helpful for making better projections. In this paper, we provide a literature review on data warehouse design approaches from social media. More precisely, we start by introducing the main concepts of data warehouse and social media. We also propose two classes of data warehouse design approaches from social media (behavior analysis and integration of sentiment analysis in data warehouse schema) and expose for each one the most representative existing works. Afterward, we propose a comparative study of the existing works. |
| Databáze: | OpenAIRE |
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