1. A method of reporting data from an automated spoken dialog service, the method comprising: extracting data regarding user dialogs with the automated spoken dialog service, and not with a human agent, using a dialog logging module within the automated spoken dialog service; analyzing the data to identify trends for at least one geographic area to yield identified trends; comparing the identified trends for the at least one geographic area with an average in a wider geographical area containing the at least one geographic area; modifying the automated spoken dialog service on a geographic basis according to the identified trends and comparison; based on the analysis of the data and the comparison of the identified trends, generating top natural language headlines, each of which describes at least one identified trend; and displaying the generated top headlines to a user.
1. A method of reporting data from an automated spoken dialog service, the method comprising: extracting data regarding user dialogs with the automated spoken dialog service, and not with a human agent, using a dialog logging module within the automated spoken dialog service; analyzing the data to identify trends for at least one geographic area to yield identified trends; comparing the identified trends for the at least one geographic area with an average in a wider geographical area containing the at least one geographic area; modifying the automated spoken dialog service on a geographic basis according to the identified trends and comparison; based on the analysis of the data and the comparison of the identified trends, generating top natural language headlines, each of which describes at least one identified trend; and displaying the generated top headlines to a user. 3. The method of claim 1 , wherein analyzing the data further comprises analyzing a time-sequence associated with the data.