图 书 馆
SABINE：语义注释社交内容的多用途数据集SABINE: A Multi-Purpose Dataset of Semantically-Annotated Social Content |
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| 课程网址: | http://videolectures.net/iswc2018_ferrara_sabine_multi_purpose/ |
| 主讲教师: | Alfio Ferrara |
| 开课单位: | 米兰大学 |
| 开课时间: | 2018-11-22 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Social Business Intelligence (SBI) is the discipline that combines corporate data with social content to let decision makers analyze the trends perceived from the environment. SBI poses research challenges in several areas, such as IR, data mining, and NLP; unfortunately, SBI research is often restrained by the lack of publicly-available, real-world data for experimenting approaches, and by the difficulties in determining a ground truth. To fill this gap we present SABINE, a modular dataset in the domain of European politics. SABINE includes 6 millions bilingual clips crawled from 50 000 web sources, each associated with metadata and sentiment scores; an ontology with 400 topics, their occurrences in the clips, and their mapping to DBpedia; two multidimensional cubes for analyzing and aggregating sentiment and semantic occurrences. We also propose a set of research challenges that can be addressed using SABINE; remarkably, the presence of an expert-validated ground truth ensures the possibility of testing approaches to the whole SBI process as well as to each single task. |
| 关 键 词: | 社交商业智能; 分析和聚合情感和语义事件; 数据挖掘和NLP |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-20：cyh |
| 最后编审: | 2022-12-23：cyh |
| 阅读次数: | 12 |