Inferential analysis and reporting of contextual complaints data

A computer-implemented method of inferential analysis and reporting of contextual complaint data, the method comprising:

• processing a social media message to formulate an input data for a neural network, wherein the message is retrieved from one or more social media network;
• processing the input data to chunk and identify one or more entities of interest to an enterprise, wherein the enterprise includes one or more line of business (LOB);
• processing the identified one or more entities of interest by a plurality of neural nodes in the neural network to identify a specific set of LOB(s) that are impacted by the social media message, wherein the individual neural node from among the plurality of neural nodes are individual neural network performing specific functions;
• with the one or more entities of interest as input to the neural network, corresponding to a plurality of parameters associated with the enterprise, dynamically determining output by the individual neural nodes in the plurality of neural nodes, wherein the output of one of the individual neural node is fed as input to a next connected neural node;
• and
• collating the output from the plurality of neural nodes to generate a report with action items corresponding to the specific set of LOB(s) to address the social media message.

A computer system for of inferential analysis and reporting of contextual data, comprising:

• a computer memory to store program code;
• and
• a processor to execute the program code to:
• process a social media message to formulate an input data for a neural network, wherein the message is retrieved from one or more social media network;
• process the input data to chunk and identify one or more entities of interest to an enterprise, wherein the enterprise includes one or more line of business (LOB);
• process the identified one or more entities of interest by a plurality of neural nodes in the neural network to identify a specific set of LOB(s) that are impacted by the social media message, wherein the individual neural node from among the plurality of neural nodes are individual neural network performing specific functions;
• with the one or more entities of interest as input to the neural network, corresponding to a plurality of parameters associated with the enterprise, dynamically determine output by the individual neural nodes in the plurality of neural nodes, wherein the individual neural nodes connected to one of the neural node are processed in parallel;
• and
• collate the output from the plurality of neural nodes to generate a report with action items corresponding to the specific set of LOB(s) to address the social media message.