The content on the web is increasing at an explosive rate. This makes it important to generate interpretations of web content in a way that could facilitate building of relevant systems. Keeping this notion in focus, we carry out an analysis to understand and generate interpretations of engagement of users with respect to topics discussed on a hacker forum. Since this could be first study of its kind, we present our results in way that could be easily interpreted and be used for carrying out further research. We make use of a number of existing machine learning techniques and models in this study. The study lists results obtained from different techniques for the same dataset and offers insight on the results obtained. There is also a discussion section that points out the usefulness of these results in encouraging user participation.