Information retrieval from social networks: A survey

Waseem Ahmad, R. Ali
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引用次数: 7

Abstract

Social networks are becoming an integral part of people's life to share and disseminate information instantly. Users share their views on a particular topic or events and receive feedback from their followers, friends and colleagues in form of comments, like, dislike, upvote, downvote etc. Since the user has a very limited control on previously shared information and has limited storage space in his/her account, the management of users information is a very tedious task. In this paper, we discuss different types of social networking services and user's information shared on these services. We categorize the content based information into two categories namely textual content based information and visual content based information. Then we discuss the major efforts made for retrieval of these information from different social networks. We also outline a procedure for content based information retrieval from multiple social networks.
社会网络信息检索:一项调查
社交网络正在成为人们生活中不可或缺的一部分,可以即时分享和传播信息。用户分享他们对特定话题或事件的看法,并以评论、喜欢、不喜欢、赞成、反对等形式从他们的追随者、朋友和同事那里得到反馈。由于用户对以前共享的信息的控制非常有限,并且其帐户中的存储空间有限,因此用户信息的管理是一项非常繁琐的任务。在本文中,我们讨论了不同类型的社交网络服务和用户在这些服务上共享的信息。我们将基于内容的信息分为两类,即基于文本内容的信息和基于视觉内容的信息。然后我们讨论了从不同的社会网络中检索这些信息所做的主要努力。我们还概述了从多个社交网络中检索基于内容的信息的过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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