1. A method comprising: generating a topic vector representing semantic significance of one or more terms, wherein generating the topic vector comprises: performing a search on a sample corpus to obtain a plurality of samples; accessing a sematic space to determine a plurality of semantic vectors based at least in part on the plurality of samples, presenting a user interface comprising a plurality of themes based at least in part on the plurality of semantic vectors, receiving a user selection, via the user interface, of one or more themes from the plurality of themes, and saving the topic vector based at least in part on the user selection of one or more themes; associating a set of alert rules with the topic vector, wherein the set of alert rules define one or more thresholds that trigger one or more alerts; categorizing a set of messages based at least in part on analysis of the set of messages against the topic vector, to obtain a categorized set of messages; determining whether the categorized set of messages satisfies the one or more thresholds defined in the set of alert rules; and if the one or more thresholds are satisfied, generating a corresponding alert of the one or more alerts.
1. A method comprising: generating a topic vector representing semantic significance of one or more terms, wherein generating the topic vector comprises: performing a search on a sample corpus to obtain a plurality of samples; accessing a sematic space to determine a plurality of semantic vectors based at least in part on the plurality of samples, presenting a user interface comprising a plurality of themes based at least in part on the plurality of semantic vectors, receiving a user selection, via the user interface, of one or more themes from the plurality of themes, and saving the topic vector based at least in part on the user selection of one or more themes; associating a set of alert rules with the topic vector, wherein the set of alert rules define one or more thresholds that trigger one or more alerts; categorizing a set of messages based at least in part on analysis of the set of messages against the topic vector, to obtain a categorized set of messages; determining whether the categorized set of messages satisfies the one or more thresholds defined in the set of alert rules; and if the one or more thresholds are satisfied, generating a corresponding alert of the one or more alerts. 9. The method of claim 1 , wherein the analysis of the set of messages against the topic vector comprises, for each particular message in the set of messages: vectorizing the particular message to obtain a vectorized message; and comparing the vectorized message to the topic vector to determine a similarity, if any, between the topic vector and the vectorized message.