MONK is a text mining tool hosted by the University of Illinois Library that enables researchers to analyze digital texts from select databases and archives of digitized texts. Using web log statistical data generated by the MONK website over the twelve months of 2010, this study will present initial web log analysis on the use of MONK by researchers. This paper presents a preliminary analysis of web log statistical data from MONK to examine the ways in which MONK has been most commonly used by researchers, and analyze the possible needs of researchers in the future.