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Given a minimum threshold in a massive market-basket data set, an item pair whose correlation above the threshold is considered correlated. In this paper, we provide a randomized algorithm SERIT-a Searching-corrElated-pair Randomized algorithm for dIfferent Thresholds- to find all correlated pairs effectively, which adopts the Pearson's correlation coefficient [11] as the measure criterion. In their...
We investigate the problem of identifying both product properties and opinion words for sentences in a unified process when only a much small labeled corpus is available. Naive Bayesian method is used in this process. Specifically, considering the fact that product properties and opinion words usually co-occur with high frequency in product review articles, a cross- training method is proposed to...
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