This research compares unsupervised learning methods in topic extraction and modeling in
large-scale text corpora. The methods used are Singular Value Decomposition (SVD) and …

Sensing urban spaces from multisource geospatial data is vital to understanding the
transportation system in the urban context. However, the complexity of urban context and its …

Cross-domain data analysis is playing an increasingly important role in media convergence
and can be adopted for many applications. Most existing methods consider the domain …

This paper proposes a new methodology called TOpic modeling Based Index Assessment
through Sentiment (TOBIAS). This method aims at modeling the effects of the topics, moods …

Social event classification of multimedia is a hot issue in the field of multimedia research.
The existing social event classification methods based on supervised topic model fail to …

多媒体社会事件分类问题是多媒体研究领域中的热点问题. 现有基于有监督主题模型的社会事件
分类方法, 未充分利用语料库(文本, 视觉等模态) 的内部语义信息, 模型分类性能有待进一步提升 …

In order to provide an effective means for power enterprises to manage non-structural data,
a classification and grading method for non-structural data of electrified wire netting based …