走向社交媒体挖掘:TwitterobservatoryTowards Social Media Mining: Twitterobservatory |
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课程网址: | https://videolectures.net/videos/sikdd2014_novalija_media_mining |
主讲教师: | Inna Novalija |
开课单位: | 信息不详。欢迎您在右侧留言补充。 |
开课时间: | 2014-12-06 |
课程语种: | 英语 |
中文简介: | 本文提出了一种基于管道的社交媒体挖掘方法,该管道实现了观察、丰富、存储、建模和表示技术。虽然社交媒体挖掘解决方案已用于某些主题的信息提取和情感识别,但将社交媒体应用于建模和临近预测是一个有前途的新研究方向。作为研究的一部分,介绍了一种新颖的工具TwitterObservatory,可以观察、搜索、分析和呈现社交媒体。使用提议的管道的说明性示例展示了TwitterObservatory如何实现管道来支持用户与社交媒体数据的交互。 |
课程简介: | This paper presents an approach to social media mining based on a pipeline that implements observing, enriching, storing, modeling and presentation techniques. While social media mining solutions have been used for information extraction and sentiment identification about certain topics, applying social media for modeling and nowcasting is a promising new research direction. A novel tool TwitterObservatory that allows observing, searching, analyzing and presenting social media is introduced as a part of the research. Illustrative examples of using the proposed pipeline show how the TwitterObservatory implementing the pipeline can support the user in interaction with the social media data. |
关 键 词: | 社交媒体; 信息提取; 情感识别 |
课程来源: | 视频讲座网 |
数据采集: | 2025-05-09:zsp |
最后编审: | 2025-05-09:zsp |
阅读次数: | 3 |