Enabling 5G: sentimental image dominant graph topic model for cross-modality topic detection

doi:10.1007/s11276-019-02009-3

	Enabling 5G: sentimental image dominant graph topic model for cross-modality topic detection
	Sun, Jiayi 1; Li, Liang 2; Li, Wenchao 1; Zhang, Jiyong 1; Yan, Chenggang 1
	2020-04-01
发表期刊	WIRELESS NETWORKS
ISSN	1022-0038
卷号	26 期号:3 页码:1549-1561
摘要	Fifth generation mobile networks (5G) is coming into our life and it will not only provide an increase of 1000 times in Internet traffic in the next decade but will also offer "smarter" user experience. With the commercial uses of 5G, online social networks and smart phones will spring up again. Then cross-modality data will play a more important role in the daily information dissemination. As an effective way of content analysis, topic detection has attracted much research interest, but conventional topic analysis is undergoing the limitations from the cross-modality heterogenous data. This paper proposes a sentimental image dominant graph topic model, that can detect the topic from the heterogenous data and mine the sentiment of each topic. In details, we design a topic model to transfer both the low-level visual modality and the high-level text modality into a semantic manifold, and improve the discriminative power of CNN feature by jointly optimizing the output of both convolutional layer and fully-connected layer. Furthermore, since the sentimental impact is very significant for understanding the intrinsic meaning of topics, we introduce a semantic score of subjective sentences to calculate the sentiment on the base of the contextual sentence structure. The comparison experiments on the public cross-modality benchmark show the promising performance of our model. So our method using AI technology will facilitate the intellectualization of 5G.
关键词	Cross-modality topic detection Sentiment analysis Convolutional neural network Graph topic model
DOI	10.1007/s11276-019-02009-3
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000526447000003
出版者	SPRINGER
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15415
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, Liang; Li, Wenchao
作者单位	1.Hangzhou Dianzi Univ, Hangzhou, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Sun, Jiayi,Li, Liang,Li, Wenchao,et al. Enabling 5G: sentimental image dominant graph topic model for cross-modality topic detection[J]. WIRELESS NETWORKS,2020,26(3):1549-1561.
APA	Sun, Jiayi,Li, Liang,Li, Wenchao,Zhang, Jiyong,&Yan, Chenggang.(2020).Enabling 5G: sentimental image dominant graph topic model for cross-modality topic detection.WIRELESS NETWORKS,26(3),1549-1561.
MLA	Sun, Jiayi,et al."Enabling 5G: sentimental image dominant graph topic model for cross-modality topic detection".WIRELESS NETWORKS 26.3(2020):1549-1561.