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Titlebook: Web Information Systems Engineering - WISE 2010; 11th International C Lei Chen,Peter Triantafillou,Torsten Suel Conference proceedings 2010

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楼主: Malicious
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Fast Detection of Size-Constrained Communities in Large Networksnetworks or social networks. In this paper, we propose a new algorithm for detecting communities in networks. Our approach differs from others in the ability of constraining the size of communities being generated, a property important for a class of applications. In addition, the algorithm is greed
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Evolutionary Taxonomy Construction from Dynamic Tag Spaceace, the popularity and correlation amongst tags capture the current social interests, and taxonomy is a useful way to organize these tags. As tags change over time, it is imperative to incorporate the temporal tag evolution into the taxonomies. In this paper, we formalize the problem of evolutionar
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Evolutionary Taxonomy Construction from Dynamic Tag Spaceace, the popularity and correlation amongst tags capture the current social interests, and taxonomy is a useful way to organize these tags. As tags change over time, it is imperative to incorporate the temporal tag evolution into the taxonomies. In this paper, we formalize the problem of evolutionar
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A Linear-Chain CRF-Based Learning Approach for Web Opinion Mininggative or neutral. Reasonable performance on this task has been achieved by employing rule-based, statistical approaches or generative learning models such as hidden Markov model (HMMs). In this paper, we proposed a discriminative model using linear-chain Conditional Random Field (CRFs) for opinion
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A Linear-Chain CRF-Based Learning Approach for Web Opinion Mininggative or neutral. Reasonable performance on this task has been achieved by employing rule-based, statistical approaches or generative learning models such as hidden Markov model (HMMs). In this paper, we proposed a discriminative model using linear-chain Conditional Random Field (CRFs) for opinion
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An Unsupervised Sentiment Classifier on Summarized or Full Reviews.com or Imdb.com. While these repositories often provide a high quantity of reviews on ., browsing through archived reviews to locate different opinions expressed on . is a time-consuming and tedious task, and in most cases, a very labor-intensive process. To simplify the task of identifying reviews
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