Abstract microRNAs (miRNAs) are small endogenous non-coding RNAs that function as the
universal specificity factors in post-transcriptional gene silencing. Discovering miRNAs …

The substantial volume, continued growth, and resulting complexity of the scientific literature
not only increases the need for systematic, replicable, and rigorous literature reviews, but …

摘要主题模型在自然语言处理领域受到了越来越多的关注. 在该领域中, 主题可以看成是词项的
概率分布. 主题模型通过词项在文档级的共现信息抽取出语义相关的主题集合 …

How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …

Twitter as a new form of social media can potentially contain much useful information, but
content analysis on Twitter has not been well studied. In particular, it is not clear whether as …

Most objects and data in the real world are of multiple types, interconnected, forming
complex, heterogeneous but often semi-structured information networks. However, most …

With the rapid development and popularization of Internet and mobile communication
technologies, text data mining has attracted much attention. In particular, with the wide use …

This paper addresses several key issues in the ArnetMiner system, which aims at extracting
and mining academic social networks. Specifically, the system focuses on: 1) Extracting …

Many chapters in this book illustrate that applying a statistical method such as latent
semantic analysis (LSA; Landauer & Dumais, 1997; Landauer, Foltz, & Laham, 1998) to …

Processing language requires the retrieval of concepts from memory in response to an
ongoing stream of information. This retrieval is facilitated if one can infer the gist of a …