1. A computer-implemented method comprising: obtaining, by one or more configured computing systems of a group discussion analysis service, information about a distributed group discussion that involves a plurality of users submitting a plurality of textual comments on a plurality of topics for the distributed group discussion; analyzing, by the one or more configured computing systems, the plurality of textual comments to identify the plurality of topics; generating, by the one or more configured computing systems, a plurality of comment groups based on the identified plurality of topics, wherein each of the generated comment groups is associated with one of the identified topics and includes one or more of the plurality of textual comments that have contents mentioning the associated identified topic; identifying, by the one or more configured computing systems and for each of a plurality of specified content categories, a distinct subset of the plurality of textual comments that are associated with the specified content category based on contents of the textual comments of the identified subset, the textual comments of the identified subset being included in multiple of the generated comment groups; determining, by the one or more configured computing systems and for each of the plurality of specified content categories, a distinct subset of the multiple generated comment groups that correspond to the specified content category for the specified prior time period; determining, by the one or more configured computing systems, multiple terms of interest that are distinct from the plurality of topics, and assigning each of the multiple terms to one of multiple graph axes; determining, by the one or more configured computing systems, and for each of at least some of the plurality of topics, a relevance of the topic to the multiple terms based at least in part on the textual comments included in one of the generated comment groups that is associated with the topic; and providing, by the one or more configured computing systems, information to initiate display of a multi-dimensional graph that includes the multiple graph axes and that includes visual indicators for multiple of the at least some topics on the multi-dimensional graph, wherein a position of each of the multiple topics on the displayed multi-dimensional graph is based on the determined relevance of the topic to the multiple terms and is based on the assignment of the multiple terms to the multiple graph axes, to enable a visual determination from the displayed multi-dimensional graph of relative relevance of the multiple topics to the multiple terms.
9. The method of claim 1 wherein each of the multiple graph axes has a single assigned term and includes a plurality of positions that each corresponds to a distinct degree of relevance with respect to the single assigned term, wherein the determining of the relevance of each of the at least some topics to the multiple terms includes, for each of the at least some topics and each of the multiple terms, determining a relevance score of the topic to the term that reflects a degree of relevance of the term to the topic, and wherein, for each of the multiple topics, the position of the visual indicator for the topic is selected for each of the multiple graph axes to correspond to the degree of relevance for the topic to the single assigned term for the graph axis.