A new application of Sun ONE architecture — an online custom system for Knitted Sweaters is presented, which links sweater design, manufacturing and sales in different places to share information through the Internet...A new application of Sun ONE architecture — an online custom system for Knitted Sweaters is presented, which links sweater design, manufacturing and sales in different places to share information through the Internet.The framework and characteristics of J2EE and Sun ONE are analyzed. Having studied the requirements of the online custom system for knitted sweaters, the paper presents a detailed and original system design based on J2EE technology and Web Services. This paper also gives descriptions on how to assemble and deploy the whole system under the Sun ONE architecture.展开更多
This paper focuses on how to improve aspect-level opinion mining for online customer reviews. We first propose a novel generative topic model, the Joint Aspect/Sentiment (JAS) model, to jointly extract aspects and asp...This paper focuses on how to improve aspect-level opinion mining for online customer reviews. We first propose a novel generative topic model, the Joint Aspect/Sentiment (JAS) model, to jointly extract aspects and aspect-dependent sentiment lexicons from online customer reviews. An aspect-dependent sentiment lexicon refers to the aspect-specific opinion words along with their aspect-aware sentiment polarities with respect to a specific aspect. We then apply the extracted aspectdependent sentiment lexicons to a series of aspect-level opinion mining tasks, including implicit aspect identification, aspect-based extractive opinion summarization, and aspect-level sentiment classification. Experimental results demonstrate the effectiveness of the JAS model in learning aspectdependent sentiment lexicons and the practical values of the extracted lexicons when applied to these practical tasks.展开更多
基金the key Project of Ministry of Education of China(No01083)
文摘A new application of Sun ONE architecture — an online custom system for Knitted Sweaters is presented, which links sweater design, manufacturing and sales in different places to share information through the Internet.The framework and characteristics of J2EE and Sun ONE are analyzed. Having studied the requirements of the online custom system for knitted sweaters, the paper presents a detailed and original system design based on J2EE technology and Web Services. This paper also gives descriptions on how to assemble and deploy the whole system under the Sun ONE architecture.
基金supported by National Natural Science Foundation of China under Grants No.61232010, No.60903139, No.60933005, No.61202215, No.61100083National 242 Project under Grant No.2011F65China Information Technology Security Evaluation Center Program under Grant No.Z1277
文摘This paper focuses on how to improve aspect-level opinion mining for online customer reviews. We first propose a novel generative topic model, the Joint Aspect/Sentiment (JAS) model, to jointly extract aspects and aspect-dependent sentiment lexicons from online customer reviews. An aspect-dependent sentiment lexicon refers to the aspect-specific opinion words along with their aspect-aware sentiment polarities with respect to a specific aspect. We then apply the extracted aspectdependent sentiment lexicons to a series of aspect-level opinion mining tasks, including implicit aspect identification, aspect-based extractive opinion summarization, and aspect-level sentiment classification. Experimental results demonstrate the effectiveness of the JAS model in learning aspectdependent sentiment lexicons and the practical values of the extracted lexicons when applied to these practical tasks.
