Data Mining: Concepts, Models, Methods and Algorithms
Data Mining: Concepts, Models, Methods and Algorithms
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Ontology-supported polarity mining
Journal of the American Society for Information Science and Technology
Building a Data Warehouse: With Examples in SQL Server
Building a Data Warehouse: With Examples in SQL Server
Browsing mixed structured and unstructured data
Information Processing and Management: an International Journal
Integration of Opinion into Customer Analysis Model
ICEBE '11 Proceedings of the 2011 IEEE 8th International Conference on e-Business Engineering
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As e-commerce is becoming more and more popular, the number of customer reviews that a product receives grows rapidly. In order to enhance customer satisfaction and their shopping experiences, it has become important to analysis customers reviews to extract opinions on the products that they buy. Thus, Opinion Mining is getting more important than before especially in doing analysis and forecasting about customers' behavior for businesses purpose. The right decision in producing new products or services based on data about customers' characteristics means profit for organization/company. This paper proposes a new architecture for Opinion Mining, which uses a multidimensional model to integrate customers' characteristics and their comments about products (or services). The key step to achieve this objective is to transfer comments (opinions) to a fact table that includes several dimensions, such as, customers, products, time and locations. This research presents a comprehensive way to calculate customers' orientation for all possible products' attributes.