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商务演讲英语ppt

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  • 更新时间:2019-08-13
  • 素材类别:英语课件快三大发怎么看和值_大发快三买大小合法吗
  • 素材格式:.ppt
  • 关键提要:商务演讲英语,演讲
  • 素材版本:PowerPoint2003及以上版本(.ppt)
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商务演讲英语ppt

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Measuring the quality of hybrid opinion mining model for e-commerce application 信管X班 XXX A b s t r a c t With the rapid expansion of e-commerce over the decades, the growth of the user generated content in the form of reviews is enormous on the Web. A need to organize the e-commerce reviews arises to help users and organizations in making an informed decision about the products. Opinion mining systems based on machine learning approaches are used online to categorize the customer opinion into positive or negative reviews. Different from previous approaches that employed single rule based or statistical techniques, we propose a hybrid machine learning approach built under the framework of combination (ensemble) of classifiers with principal component analysis (PCA) as a feature reduction technique. This paper introduces two hybrid models, i.e. PCA with bagging and PCA with Bayesian boosting models for feature based opinion classification of product reviews. The results are compared with two individual classifier models based on statistical learning i.e. logistic regression (LR) and support vector machine (SVM). We found that hybrid methods do better in terms of four quality measures like misclassification rate Article introduction Article introduction Key-word Key-sentence E-commerce has attracted more and more people to buy and sell products online, customer reviews that describe experiences with product and services are becoming more important in decision making. 电子商务已经吸引越来越多的人在线购买商品,描述商品和服务的评论在消费者做出购买决定时变得越来越重要。 Key-sentence Principal components analysis (PCA) is the widely used statistical method to reduce the dimension of feature set. 主成分分析法是一种被广泛使用的统计方法,以减少特征集的维数。 References

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