BACKGROUND

Collaboration tools are a popular form of information technology and typically support various kinds of user conversations, such as persistent chat, for example. Persistent chat applications enable users to create topic-based discussion rooms in which messages and files are posted both for real time conversations and as permanent records for browsing or searching.

SUMMARY

In an embodiment of the present invention, a computer system implemented method includes receiving identification of a first content class deemed to be important by a user of a first set of one or more users and training a first classifier to recognize content matching the first content class, where the training is on text of communication among the one or more users. The method further includes receiving identification of a second content class deemed to be important by a user of the first set of one or more users and training a second classifier to recognize content matching the second content class, where the training is on text of communication among the one or more users. A composite classifier is provided, where the composite classifier includes the first and second classifiers. The composite classifier is applied to text of communication among one or more users of a second set of one or more users. Applying the composite classifier to text of communication among the one or more users of the second set includes tagging, by the composite classifier, content in text of communication among the one or more users of the second set, where the tagging is responsive to the first and second classifiers recognizing their respective content classes in text of communication among the one or more users of the second set.

In other embodiments of the invention, other forms are provided, including a system and a computer program product.

