Classifying Nodes in Social Media Space

被引：0
|
作者：
Thakur, Kirti [1 ]
Kumar, Harish [1 ]
机构：
[1] Panjab Univ, Univ Inst Engn & Technol, Chandigarh 160014, India
来源：
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ICT FOR SUSTAINABLE DEVELOPMENT, ICT4SD 2015, VOL 1 | 2016年 / 408卷
关键词：
Social media; Text classification; Cyber; Information retrieval; Sentiment analysis; Opinion mining; Facebook; Machine learning; SENTIMENT ANALYSIS; CLASSIFICATION; FRAMEWORK;
D O I：
10.1007/978-981-10-0129-1_30
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Social media provides a platform to interact among people where they share or exchange idea and information. Social network analysis is one of the widest research area used in economics, behavioural, social, political, organizational sciences, etc. Today, maximum information is available online thus a smart system is required to interpret the data. The analysis of information is based on human interaction and the perception of user-generated content. The interpretation fluctuate person-to-person thus automated system is required. In this paper, a methodology is proposed for the classification of node linked with official Panjab University Facebook page.
引用
收藏
页码：279 / 287
页数：9
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