图 书 馆
OpinionMiner：一种新的网络意见挖掘和提取机器学习系统OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction |
|
| 课程网址: | http://videolectures.net/kdd09_srihari_omnmlswome/ |
| 主讲教师: | Rohini K Srihari |
| 开课单位: | 布法罗大学 |
| 开课时间: | 2009-09-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through all customer reviews is difficult, especially for popular items, the number of reviews can be up to hundreds or even thousands. This makes it difficult for a potential customer to read them to make an informed decision. The OpinionMiner system designed in this work aims to mine customer reviews of a product and extract high detailed product entities on which reviewers express their opinions. Opinion expressions are identified and opinion orientations for each recognized product entity are classified as positive or negative. Different from previous approaches that employed rule-based or statistical techniques, we propose a novel machine learning approach built under the framework of lexicalized HMMs. The approach naturally integrates multiple important linguistic features into automatic learning. In this paper, we describe the architecture and main components of the system. The evaluation of the proposed method is presented based on processing the online product reviews from Amazon and other publicly available datasets. |
| 关 键 词: | 产品实体; 意见取向; 词汇化HMM框架 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-10：lxf |
| 阅读次数: | 38 |