Collecting, Managing and Analyzing Social Networking Data Effectively
文献类型：会议论文
| 作者 | Zhongying Zhao; Zheng Feng; Yong Zhang; Li Ning; Chao Li; Jiancong Fan |
| 出版日期 | 2015 |
| 会议名称 | ICNC-FSKD 2015 |
| 会议地点 | Zhangjiajie, China |
| 英文摘要 | Social network analysis is a hot topic in recent years. However, how to collect, manage and analyze those large volume data effectively, is a very important problem. In this paper, we describe a system to collect, manage and mining social media data. Taking Tencent microblogs as an example, we implement a social media data collecting module based on hadoop. In order to process data effectively and efficiently, we design a storm based managing and preprocessing system. As to the social media data analysis, we conduct topic detection based on LDA algorithm. We also propose a method to calculate the hot degree for each topic. In order to analyze the topic dynamics, we present a topic tracking method. Furthermore, we give an integrated method, which combines emotions and dictionary to analyze the sentiment of each topic. The web-based result visualization are also implemented. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6971]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Zhongying Zhao,Zheng Feng,Yong Zhang,et al. Collecting, Managing and Analyzing Social Networking Data Effectively[C]. 见:ICNC-FSKD 2015. Zhangjiajie, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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