Sap Se

Sneha Patil

Jemin Tanna

Ajesh Kumar

Manu Maheshwar Puthiyadath

Venkata Sai Abhishek Chavali

In a process of inferential analysis and reporting of contextual complaints data, a social media message is processed to formulate an input data for a neural network, The input data is processed to chunk and identify one or more entities of interest to an enterprise, wherein the enterprise includes one or more line of business (LOB). The identified entities of interest are processed 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. With the entities of interest as input to the neural network, corresponding to a plurality of parameters associated with an enterprise, output from the individual neural nodes is dynamically determined. The output from the plurality of neural nodes is collated to generate a report with action items specific to the set of LOB(s) to take pre-emptive actions in the enterprise.

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Pune, India

Sneha Patil