model does not model the relationship between topics the topics are reordered by defining a similarity metric the visual text corpora analysis tool 10 utilizes a hellinger distance function to characterize the similarity metric denoting how close the topics are the visual text corpora analysis tool 10 visualizes the similarity metric to provide users semantic level understandings of the topic distributions and helps to reduce their cognitive overload by clustering the topic space the topic cloud view 20 also provides users with a set of interactions to help users quickly make sense of the topics for example hovering over a particular keyword highlights all other occurrences of that keyword in the tagcloud a user may also search for a particular keyword of interest in addition the topic cloud view 20 is tightly coordinated with all other views to promptly provide information regarding a specific topic on demand the topic cloud view 20 is generated in part by an online keyword weighting module 26 that is operable for aggregating the topic modeling module 39 s results it sorts words in any given topic based on their probabilities in that topic more probable words will be placed in the top of the sorting queue this probability value is denoted by values computed by the topic modeling module 14 the size of a word in the topic cloud view for example is determined by the frequency of the appearance of that word across the entire text corpora and normalized based on the maximum word frequency the higher the frequency the larger the.