In most existing research effects on statistical topic modeling, people generally either select top words in the distribution as primitive labels (Blei et al., 2003;Ramage et al., 2009;Ramage et al., 2011), or generate more meaningful labels manually in a subjective manner (Mei et al., 2006;Mei and Zhai, 2005).
extracting top terms is not very useful to interpret the coherent meaning of a topic (Mei et al., 2007).