• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Soft Computing Systems >Opinion Mining of User Reviews Using Machine Learning Techniques and Ranking of Products Based on Features
【24h】

Opinion Mining of User Reviews Using Machine Learning Techniques and Ranking of Products Based on Features

机译：使用机器学习技术和基于特征的产品排名挖掘用户评论

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Online shopping websites and the people using the Online shopping websites are proliferating every day. The widely available internet resources are letting the users to shop any products anywhere, anytime at any cost. With the brisk development in the 3G and 4G we can expect a tremendous development in the area of M-commerce and E-commerce. In this paper, we have presented our work which is an extension to our earlier work which is the comparison of two mobile products based on predefined score and features of the Mobile. Therefore, we have shown in this paper the ranking of products, ranking of products based on features, comparison of websites Flipkart and Amazon, comparison of algorithms Naive Bayes classifier, decision tree classifier and Maximum Entropy classifier based on accuracy which is used in the classification of reviews. Finally, we have shown these rankings in a graphical user interface (GUI) to recommend the user the best product.
机译：在线购物网站和使用在线购物网站的人每天都会增强。广泛可用的互联网资源正在让用户随时随地购物任何产品。随着3G和4G的短暂开发，我们可以期待在商业和电子商务领域产生巨大的发展。在本文中，我们提出了我们的工作，这是我们早期工作的延伸，这是基于预定义的分数和手机的特征的两个移动产品的比较。因此，我们在本文中显示了产品的排名，基于功能的产品排名，网站Flipkart和亚马逊的比较，比较算法天真贝叶斯分类器，决策树分类器和最大熵分类基于分类中使用的准确性评论评论。最后，我们在图形用户界面（GUI）中显示了这些排名，以推荐用户最好的产品。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号