1. A computer-implemented method, comprising: receiving a user request referencing one or more keywords; identifying a plurality of content items, wherein the content items comprise network content that includes the one or more keywords; clustering the plurality of content items into a plurality of clusters, and identifying a topic associated with each cluster, wherein the identified topics relate to the one or more keywords; for each topic from among the identified topics corresponding to the clusters, computing a frequency associated with the topic; computing a relevance rank associated with each content item associated with the topic, and determining a relevance rank associated with the topic based on the computed relevance ranks; obtaining a number of page views associated with each content item associated with the topic, and determining a number of page views associated with the topic based on the obtained number of page views; and determining a sentiment score associated with the topic; preparing a report regarding the identified topics corresponding to the clusters, wherein the report comprises, for each topic from among the identified topics, the a computed frequency associated with the topic, the determined relevance rank associated with the topic, the determined number of page views associated with the topic, and the determined sentiment score associated with the topic; and displaying the report in response to the user request referencing the one or more keywords to which the identified topics relate.