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The prevalence of Web 2.0 systems leads to a huge growth of information and intensifies the competition for user attention. Hence understanding what make one news article popular and how to predict its popularity has attracted a lot of interest. In this paper, we focus on the cold-start problem of popularity prediction, where only content features are used as input. A hierarchical neural network is...
Time series clustering has been applied in many scientific domains and has attracted much attention in recent years. In this paper, a novel hypergraph based clustering method for time series is proposed, combining multiple similarity measures and hypergraph partitioning. We firstly build the hypergraph for time series dataset using multiple similarity measures, where each time series is represented...
The paper describes a novel unpowered energy-stored exoskeleton (ES-EXO) for spinal cord injured patients in consideration of patients' characteristics and injured levels. It proposed a method to optimize the energy-stored element to decrease the hip joint moment in walking. EMG patterns, ground reaction force and motion data from one participant with complete spinal cord injury at T10 were recorded...
With the rapid growth of Internet consumption, the various product comments' form and redundant information are not convenient for the customers to grasp the hot opinions of the historical comments. In view of this, this paper studies the hot opinions of the products' comments and takes the hotel comments data as the main research objects. We filter the comment data from the length of the comments...
Sentiment lexicon is the core of many academic and commercial sentiment analysis system. But compared with the plentiful English sentiment resources, Chinese sentiment lexicon is scarce which limits the application of lexicon-based method in Chinese sentiment analysis.
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