Titlebook: Web Information Systems Engineering -- WISE 2014; 15th International C Boualem Benatallah,Azer Bestavros,Yanchun Zhang Conference proceedin

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Feature Based Sentiment Analysis of Tweets in Multiple Languages However, Twitter users express sentiment towards a large variety of products in many different languages. Besides, sentiment expressed on Twitter is more up to date and represents the sentiment of a larger population than review articles. Therefore, we propose a method that identifies product featu

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Incorporating the Position of Sharing Action in Predicting Popular Videos in Online Social Networkse difficulty of acquiring all OSN users’ activities, recent studies try to predict popular media contents in OSNs only based on a very small number of users, referred to as experts. However, these studies simply treat all users’ diffusion actions as the same. Based on large-scale video diffusion tra

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Incorporating the Position of Sharing Action in Predicting Popular Videos in Online Social Networkse difficulty of acquiring all OSN users’ activities, recent studies try to predict popular media contents in OSNs only based on a very small number of users, referred to as experts. However, these studies simply treat all users’ diffusion actions as the same. Based on large-scale video diffusion tra

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An Evolution-Based Robust Social Influence Evaluation Method in Online Social Networksct is one of the most important factors for other buyers’ decision makings. A buyer who provides high quality reviews thus has strong social influence, and can impact a large number of participants’ purchase behaviours in OSNs. However, the dishonest participants can cheat the existing social influe

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A Framework for Linking Educational Medical Objects: Connecting Web2.0 and Traditional Educationstitutions, Linked Data (LD) is playing an important role in exposing and sharing open educational content on the web. The growing use of the internet has modified quickly our learning habits. Learning in the medical field is unique in its nature. The educational objects are of various types and sho

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An Ensemble Model for Cross-Domain Polarity Classification on Twittercation problem, demanding a labeled corpus for training purposes. However, if the learned model is applied on a different domain, the performance drops significantly and, given that it is impractical to have labeled corpora for every domain, this becomes a challenging task. In the current work, we a

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An Ensemble Model for Cross-Domain Polarity Classification on Twittercation problem, demanding a labeled corpus for training purposes. However, if the learned model is applied on a different domain, the performance drops significantly and, given that it is impractical to have labeled corpora for every domain, this becomes a challenging task. In the current work, we a