基于社交媒体的事件感知与多模态事件脉络生成

doi:10.11896/j.issn.1002-137X.2017.6A.007

摘要/Abstract

摘要： 随着信息技术的发展和社交媒体的流行,普通用户已经完成了从信息接受者到信息产生者的转变,每个人都可以实时分享自己身边的信息,也可以转发自己感兴趣的内容,这使得社交媒体的数据量迅速增长。在海量数据中蕴含着丰富的社会事件发生和发展的记录,如何有效地从这些数据中挖掘出有价值的信息成为了当前信息领域的重要问题。针对该问题,介绍了基于社交媒体的事件感知与多模态事件脉络生成。基于社交媒体的事件感知与多模态事件脉络生成旨在通过分析社交媒体中的文本、时间、图像、评论、观点、情感和用户交互等多模态数据,感知事件并刻画事件的关系,从而实现对事件的总结。讨论了基于社交媒体的事件感知与多模态事件脉络生成的描述模型、概念、发展历史、关键技术与挑战以及其广泛的应用领域,综述了社交媒体分析在事件感知和事件总结方面的研究进展,并对其未来发展进行了展望。

关键词: 社交媒体,事件感知,多模态数据,事件脉络,跨媒体

Abstract: With the development of information technology and popularity of social media,normal users have become information producers from receivers and everyone can share what happened around them and repost what they are interested in,which makes the information stored in social media increase rapidly.The large amount of data contains abundant and valuable records of social events.How to get valuable informations from these data has become one of the most important problems in information field.This paper introduced the new research field,including crowd-powered event sensing and multimodal summarization to solve this problem.Crowd-powered event sensing and multimodal summarization aim at sensing and analyzing events by analyzing multimodal data existed in social media to predict and summarize events effectively.This paper described the modal of event,the history of sensing,the key technology,challenges and wide application field,summarized the development of event sensing and summarization based social media analysis and looked into the future.

Key words: Social media,Event sensing,Multimodal data,Storyline,Cross media

徐程浩,郭斌,欧阳逸,翟书颖,於志文. 基于社交媒体的事件感知与多模态事件脉络生成[J]. 计算机科学, 2017, 44(Z6): 33-36. https://doi.org/10.11896/j.issn.1002-137X.2017.6A.007

XU Cheng-hao, GUO Bin, OUYANG Yi, ZHAI Shu-ying and YU Zhi-wen. Event Sensing and Multimodal Event Vein Generation Leveraging Social Media[J]. Computer Science, 2017, 44(Z6): 33-36. https://doi.org/10.11896/j.issn.1002-137X.2017.6A.007

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