Abstract: A mood of a user is estimated based on a user's profile, data indicative of a user's mood received from a communication device associated with the user and from sources other than the user, and environmental data with a potential impact on the user's mood. Data indicative of the user's mood and the environmental data are processed to filter out data that is not relevant to the user's mood. The filtered data is cross-correlated with the user profile, and the mood of the user is estimated based on the cross-correlated filtered data. A network and services may be controlled based on a user's mood. Suggestions for interacting with the user may be generated based on the user's mood.