1. A method, comprising: performing via a processor, a natural language interpretation of a message posted on a website data source from an end user responsive to identifying the message posting being related to a predefined monitored entity; processing via the processor, the message to determine the user's topic of interest; generating via a processor, a response to the message responsive to the user's topic of interest; and sending, via a transmitter, the response to the end user; wherein the end user is identified by matching user specific information included in the message to pre-stored user specific information stored in a database.
1. A method, comprising: performing via a processor, a natural language interpretation of a message posted on a website data source from an end user responsive to identifying the message posting being related to a predefined monitored entity; processing via the processor, the message to determine the user's topic of interest; generating via a processor, a response to the message responsive to the user's topic of interest; and sending, via a transmitter, the response to the end user; wherein the end user is identified by matching user specific information included in the message to pre-stored user specific information stored in a database. 3. The method of claim 1 , further comprising confirming the user's topic of interest has been addressed in the response.