Web Logs Analysis for Finding Brand Status

Abstract

Due to rapid development of the web there has been vast increase in the user generated contents available in the form of blogs ,product reviews sites, web- forums and online social networks etc. Such reviews are very useful to the companies, as they contain valuable information about what aspects of the product, are driving the sales up or down.But most of the available content is in the form of unstructured data from where extraction of information is a challenging task. In order to find potential risk, it is essential for companies to gather and analyze information about competitor products and strategies. Companies use opinion mining techniques to track customer's response, in order to efficiently market their products, identify new opportunities, weaknesses and manage their reputations. In this paper, brand status model is proposed based on the various parameters which affect brands reputation. Also, the products belonging to different brands will be compared on the basis of predefined aspects. This model uses aspect based sentiment analysis technique to find sentiments about product's features and brand.