图 书 馆
本体论驱动的产品和服务情感分析Ontology-Driven Sentiment Analysis of Product and Service Aspects |
|
| 课程网址: | http://videolectures.net/eswc2018_schouten_service_aspects/ |
| 主讲教师: | Kim Schouten |
| 开课单位: | 鹿特丹伊拉斯谟大学 |
| 开课时间: | 2018-07-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | With so much opinionated, but unstructured, data available on the Web, sentiment analysis has become popular with both companies and researchers. Aspect-based sentiment analysis goes one step further by relating the expressed sentiment in a text to the topic, or aspect, the sentiment is expressed on. This enables a detailed analysis of the sentiment expressed in, for example, reviews of products or services. In this paper we propose a knowledge-driven approach to aspect sentiment analysis that complements traditional machine learning methods. By utilizing common domain knowledge, as encoded in an ontology, we improve the sentiment analysis of a given aspect. The domain knowledge is used to determine which words are expressing sentiment on the given aspect as well as to disambiguate sentiment carrying words or phrases. The proposed method has a highly competitive performance of over 80% accuracy on both SemEval-2015 and SemEval-2016 data, significantly outperforming the considered baselines. |
| 关 键 词: | 非结构化; 知识驱动; 机器学习 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-12：chenjy |
| 最后编审: | 2022-12-12：chenjy |
| 阅读次数: | 16 |