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This paper proposes a user's conception accelerator which supports making user's conception for data analysis in decision making. This paper introduces proposed system to an interactive information visualization system keyword map. The keyword map has been studied for supporting data analysis for decision making. It
informative keywords not only from the textual content of the target vlog itself but also from external resources which are semantically and visually relevant to it. Sentiment evaluation obtained from comments. In vlog search we adopt saliency based matching to make the search results. We use different ranking strategies are
for vlogs. We extract informative keywords from both the target vlog itself and external resources which are semantically and visually relevant to it. We also present a new evaluation criterion, which assigns a score to an annotation according to its accuracy and completeness in representing the vlogpsilas semantics
Mobile web browsing signifies accessing the content on web pages using a mobile device. It is common for Internet search engines to use keyword searching in which rank is assigned to each page based on several features. But it is an arduous task for a user to inscribe a keyword in such a delicate small mobile screen
problem. In this paper, we propose a novel vlog management model which is comprised of automatic vlog annotation and user-oriented vlog search. For vlog annotation, we extract informative keywords from both the target vlog itself and relevant external resources; besides semantic annotation, we perform sentiment analysis on
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