Thus, it is highly desirable to rapidly generate meaningful labels for a topic word distribution while assign labels for new emerging topics as correctly as possible.
to the best of our knowledge, no existing method has been proposed to satisfy the demand, except that the simplest method which uses top-n words in the distribution to interpret a topic.