Titlebook: Web Information Systems Engineering -- WISE 2013; 14th International C Xuemin Lin,Yannis Manolopoulos,Guangyan Huang Conference proceedings

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Heterogeneous Metric Learning for Cross-Modal Multimedia Retrievalal where users submit queries of one media type and get results of various other media types. Performing effective retrieval of heterogeneous multimedia content brings new challenges. One essential aspect of these challenges is to learn a . between different types of multimedia objects. In this pape

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Ballad

Efficient Online Novelty Detection in News Streamsn a cell phone. An efficient novelty detection algorithm can save the user a great deal of time when accessing interesting information. Most of the recent research for the detection of novel documents in text streams uses either geometric distances or distributional similarities with the former typi

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mechanism

Detecting Opinion Drift from Chinese Web Comments Based on Sentiment Distribution Computinglyze their reasons, is an important problem for Web public opinion analysis. To tackle this problem, an approach of opinion drift detection for Chinese Web comment is proposed. For a comment set during a long time about a hot event, the proposed approach first determines possible drift timestamps ac

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Detecting Opinion Drift from Chinese Web Comments Based on Sentiment Distribution Computinglyze their reasons, is an important problem for Web public opinion analysis. To tackle this problem, an approach of opinion drift detection for Chinese Web comment is proposed. For a comment set during a long time about a hot event, the proposed approach first determines possible drift timestamps ac

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Feature Extraction from Micro-blogs for Comparison of Products and Servicescts (e.g., two different brands of mobile phones), can we make them comparable to each other? In this paper, we show our system namely ., a novel social network analyser designed to collect opinions from Twitter micro-blogs about two given similar products for an effective comparison between them. T

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Directional Context Helps: Guiding Semantic Relatedness Computation by Asymmetric Word Associationsing from computational linguistics to cognitive psychology. In all existing approaches, relatedness is assumed to be symmetric i.e. the relatedness of terms .. and term .. is considered the same as the relatedness of terms .. and ... However, there are tasks such as free word association, where the

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