In this work the role and importance of social networks as preferred environments for Web mining and sentiment analysis are discussed especially. In this work, selected properties of social networks that are relevant with respect to Web mining are briefly described and outline the general relationships between the two disciplines. The results are outperform and soundly support the main issue of the work, that social networks exhibit properties that make them very suitable for Web mining activities. As a key issue for the successful proliferation on online rating, trust is fast becoming the focus of many research initiatives. This work presents a review and categorization of the trust literature on websites aiming to provide the state of the art as far as research is concerned. Our analysis indicates a lack of research regarding processes for the development of trust and relationship building. The work seeks to fill this gap by proposing a theoretical model for the formation of trust in customer relationships over online rating in websites included-shopping websites.

Rule Mining, Classification, Data Mining Algorithms, K-Theory

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