System and method for online monitoring of and interaction with chat and instant messaging participants

Abstract

A method and system for on-line monitoring of electronic communications includes automatically monitoring text-based communications of chat room or instant messaging participant(s) to determine if a monitoring event, such as existence of certain factors associated with a particular exchange, for example, the exchange's participants, content, recent history, and/or tone. The existence of a monitoring event can result in predetermined action(s) being taken by the system. In certain embodiments the method comprises accessing, via a server, a conversational content set of data, learning, via the server, a pattern based on the conversational content set of data, accessing, via the server, a conversational content received from a client after the pattern has been learned based on the conversational content set of data, recognizing, via the server, the pattern in the conversational content, and taking, via the server, an action responsive to the pattern being recognized in the conversational content.

1 . A method comprising:
 accessing, via a server, a conversational content set of data;   learning, via the server, a pattern based on the conversational content set of data;   accessing, via the server, a conversational content received from a client after the pattern has been learned based on the conversational content set of data;   recognizing, via the server, the pattern in the conversational content; and   taking, via the server, an action responsive to the pattern being recognized in the conversational content.   
     
     
         2 . The method of  claim 1 , wherein the pattern is learned via a natural language processing technique, wherein the pattern is recognized in the conversational content based on the natural language processing technique. 
     
     
         3 . The method of  claim 1 , wherein the pattern is learned via a Bayesian filtering technique, wherein the pattern is recognized in the conversational content based on the Bayesian filtering technique. 
     
     
         4 . The method of  claim 1 , wherein the pattern is learned via a neural network technique, wherein the pattern is recognized in the conversational content based on the neural network technique. 
     
     
         5 . The method of  claim 4 , wherein the neural network technique employs a continuous nonnegative data sampling technique, wherein the pattern is recognized in the conversational content based on the continuous nonnegative data sampling technique. 
     
     
         6 . The method of  claim 4 , wherein the neural network technique involves a neural network that is adaptive based on learning the pattern such that the neural network can recognize the pattern in the conversational content adaptively. 
     
     
         7 . The method of  claim 4 , wherein the conversational content includes a plurality of text lines, wherein the neural network determines a probability associated with the plurality of text lines based on the pattern being learned based on the conversational content set of data. 
     
     
         8 . The method of  claim 1 , wherein the conversational content is a chat content. 
     
     
         9 . The method of  claim 1 , wherein the conversational content is an instant messaging content. 
     
     
         10 . The method of  claim 1 , wherein the conversational content involves a participant, wherein the pattern is recognized based on the participant. 
     
     
         11 . The method of  claim 10 , wherein the participant has a profile history, wherein the pattern is recognized based on the profile history. 
     
     
         12 . The method of  claim 1 , wherein the conversational content includes a text, wherein the pattern is recognized based on the text. 
     
     
         13 . The method of  claim 1 , wherein the conversational content includes a tone, wherein the pattern is recognized based on the tone. 
     
     
         13 . The method of  claim 1 , wherein the pattern is recognized based on a plurality of pattern recognition techniques working in parallel with each other. 
     
     
         14 . The method of  claim 1 , wherein the client is a first client, wherein the action includes notifying a second client of the pattern being recognized and identifying the first client. 
     
     
         15 . The method of  claim 1 , wherein the action includes suspending the client. 
     
     
         16 . The method of  claim 1 , wherein the client runs a browser, wherein the server accesses the conversational content based on receiving the conversational content from the browser after the pattern has been learned. 
     
     
         17 . The method of  claim 1 , wherein the action includes warning the client regarding the conversational content. 
     
     
         18 . The method of  claim 1 , wherein the action includes blocking the client from further conversational content relative to the server. 
     
     
         19 . The method of  claim 1 , wherein the action includes requesting further analysis of the conversational content. 
     
     
         20 . The method of  claim 1 , wherein the conversational content involves a participant other than the client, wherein the action includes blocking the conversational content from being seen by the participant.