27. A computer-implemented method that facilitates data handling, comprising: accepting data, wherein the data is a message sent to a user from another user; analyzing the data to determine an associated intent, wherein the intent includes a confidence value of the accuracy of the determined intent; reformulating at least part of the data to produce a description of the intent; and selectively presenting the description to the user based upon the confidence value associated with the intent exceeding a dynamically generated threshold, the value indicating whether to respond to the data, the threshold is dynamically generated based upon at least an inferred current state of the user based upon observation of the user.
27. A computer-implemented method that facilitates data handling, comprising: accepting data, wherein the data is a message sent to a user from another user; analyzing the data to determine an associated intent, wherein the intent includes a confidence value of the accuracy of the determined intent; reformulating at least part of the data to produce a description of the intent; and selectively presenting the description to the user based upon the confidence value associated with the intent exceeding a dynamically generated threshold, the value indicating whether to respond to the data, the threshold is dynamically generated based upon at least an inferred current state of the user based upon observation of the user. 32. The method of claim 27 , further comprising extracting features from the data based at least in part on one of a syntactic structure, a syntactic property, a linguistic structure, and a linguistic property.