Psychological Stress Detection From Cross-media Microblog Data Using Deep Sparse Neural Network

来源 :第七届国际博士生论坛暨青年教师发展研讨会 | 被引量 : 0次 | 上传用户:aqxielin
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  Long-term stress may lead to many severe physical and mental problems.Traditional psychological stress detection usually relies on the active individual participation,which makes the detection labor-consuming,time-costing and hysteretic.With the rapid development of social networks,people become more and more willing to share moods via microblog platforms.In this paper,we propose an automatic stress detection method from cross-media microblog data.
其他文献
金纳米棒(GNR)因其各向异性结构和独特的光谱特征而倍受研究者青睐,得到飞速的发展,广泛应用于金属离子和氨基酸检测、免疫分析、癌细胞成像和光热治疗以及纳米材料组装等领域
  In this paper,an interesting fusion method,named as NNSP,is developed for infrared and visible image fusion,where non-negative sparse representation is used
会议
在前期研究中,利用差减杂交技术对孤雌与正常胚胎发育相关联的基因的分析,我们发现了差异表达的基因Ypel3。该基因位于小鼠7号染色体qF3区域内,包含5个外显子,mRNA全长为1 05
  When using plenoptic camera for digital refocusing,angular undersampling can cause severe(angular)aliasing artifacts.Previous approaches have focused on avo
会议
  We present light and scanning electron microscopy on two new species of Prestauroneis from the Zoigê Wetland,Sichuan Province,China.Prestauroneis nenwai sp
会议
  MapReduce consisting of map and reduce functions,as a flexible computation model has been wildly used in processing the scale of terabytes or higher data se
会议
  Abstract: Long short-term memory(LSTM)is a specific recurrent neural network(RNN)architecture that is designed to model temporal sequences and their long-ra
会议
由于化石能源短缺,生物能源尤其是燃料乙醇发展需求日益旺盛。有机物优先透过渗透汽化技术由于具有低能耗,可原位分离发酵液中的乙醇等优点成为研究的热点。本文针对目前有机物
桑叶(Folium Mori)为桑科(Moraceae)植物桑(Morus alba L.)的干燥叶,是传统中药,具有清肺润燥,清肝明目的功效。本论文对桑属植物功能成分进行了定性定量分析,寻找具有较高使用价
在乙型肝炎的治疗过程中,宿主免疫系统针对病毒所产生的免疫应答非常重要。已有的乙肝疫苗仅能起到预防作用,但没有治疗作用。以聚乳酸(Polylactic,PLA)微球作为佐剂有望增强抗