Weighted SCL model for adaptation of sentiment classification
文献类型：期刊论文
| 作者 | Tan, Songbo1; Wang, Yuefen2 |
| 刊名 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| 出版日期 | 2011-08-01 |
| 卷号 | 38期号:8页码:10524-10531 |
| 关键词 | Sentiment analysis Opinion mining Information retrieval Data mining |
| ISSN号 | 0957-4174 |
| DOI | 10.1016/j.eswa.2011.02.106 |
| 英文摘要 | In recent years, Structural Correspondence Learning (SCL) is regarded as one of the most promising techniques for transfer learning. The main idea behind SCL model is to identify correspondences among features from different domains by modeling their correlations with pivot features. However, SCL model treats each feature as well as each instance by an equivalent-weight strategy. From the perspective of feature, this strategy fails to overcome the adverse influence of high-frequency domain-specific (HFDS) features: they occupy a relative large portion of weight in classification model, while hardly carry corresponding sentiment information. From the other perspective, the equivalent-weight strategy of SCL model does not take into account the labels ("positive" or "negative") of labeled instance and the labels of pivot features: positive pivot features tend to occur more frequently in positive instances and vice versa. To address the two issues effectively, we proposed a weighted SCL model (W-SCL), which weights the features as well as the instances. More specifically, W-SCL assigns a smaller weight to HFDS features and assigns a larger weight to instances with the same label as the involved pivot feature. The experimental results indicate that proposed W-SCL model could overcome the adverse influence of HFDS features, and leverage knowledge from labels of instances and pivot features. (C) 2011 Elsevier Ltd. All rights reserved. |
| 资助项目 | [60933005] ; [60803085] |
| WOS研究方向 | Computer Science ; Engineering ; Operations Research & Management Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000290237500167 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/13210]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Tan, Songbo |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Key Lab Network, Beijing, Peoples R China 2.Chinese Acad Geol Sci, Informat Ctr, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tan, Songbo,Wang, Yuefen. Weighted SCL model for adaptation of sentiment classification[J]. EXPERT SYSTEMS WITH APPLICATIONS,2011,38(8):10524-10531. |
| APA | Tan, Songbo,&Wang, Yuefen.(2011).Weighted SCL model for adaptation of sentiment classification.EXPERT SYSTEMS WITH APPLICATIONS,38(8),10524-10531. |
| MLA | Tan, Songbo,et al."Weighted SCL model for adaptation of sentiment classification".EXPERT SYSTEMS WITH APPLICATIONS 38.8(2011):10524-10531. |
入库方式： OAI收割
来源：计算技术研究所
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