Topic modeling is a popular analytical tool for evaluating data. Numerous methods of topic
modeling have been developed which consider many kinds of relationships and restrictions …

We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Analyzing short texts infers discriminative and coherent latent topics that is a critical and
fundamental task since many real-world applications require semantic understanding of …

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 …

Recent years have witnessed the unprecedented growth of online social media, which
empower short texts as the prevalent format for information of Internet. Given the nature of …

The short text has been the prevalent format for information of Internet, especially with the
development of online social media. Although sophisticated signals delivered by the short …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

Mental models play a crucial role in explaining and driving human innovation activities. To
help researchers clarify the changes of mental models in various innovation situations, an …

Microblog is a popular and open platform for discovering and sharing the latest news about
social issues and daily life. The quickly-updated microblog streams make it urgent to …

In this era, the proliferating role of social media in our lives has popularized the posting of
the short text. The short texts contain limited context with unique characteristics which makes …