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The class imbalance problem usually occurs in real applications. The class imbalance is that the amount of one class may be much less than that of another in training set. Under-sampling is a very popular approach to deal with this problem. Under-sampling approach is very efficient, it only using a subset of the majority class. The drawback of under-sampling is that it throws away many potentially...
In this paper, we propose a framework to answer questions of opinion type. The data source is the web pages returned from the search engine. By using Bayes Classifier, the main texts on the pages are classified into three categories at sentence level: positive review, negative review and neutral review. K-means method is used to cluster the sentences of positive review and negative review respectively...
There is increasing interest in clustering, owing to improvements in computer capacity and expanding accessible information, circa 1990s. This paper aims to increase cohesion of clustering borrowing from techniques of pagerank showing the links among pages by assigning numerical values to the relevance of pages linked in Web pages. There are cases that need to be referenced in other documents because...
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