Systems and methods for identifying issues in electronic documents

A non-transitory computer readable storage medium for use with a computer system for identifying and prioritizing issues in electronic documents from electronic social media sources and/or from traditional media sources, wherein the computer system includes a communication network linked to one or more of the sources, and a computer server in communication with the communication network, the computer server to receive electronic documents from the sources via the communication network, the computer server having a processor;

• the non-transitory computer readable storage medium including processor executable instructions stored on the non-transitory computer readable storage medium and executable by the processor, the instructions comprising:
• data collection instructions for retrieving and scoring documents from the sources via the network;
• topic modeling instructions for identifying one or more issues in each of the retrieved documents according to terms in the retrieved documents including:
• instructions for weighing each term in each of the retrieved documents with regard to relevance of the term to each identified issue;
• instructions for indicating a distribution for identified issues within each of the retrieved documents;
• issue assignment instructions for formally associating a limited list of specific issues with each retrieved document;
• instructions for determining summary metrics for each identified issue;
• and
• instructions for ranking the issues relative to each other based on weighted summary metrics.

A computer executable storage method for identifying and prioritizing issues in electronic documents from electronic social media sources and/or from traditional media sources, wherein a communication network is linked to one or more of the sources, the method including processor executable instructions stored on a non-transitory computer readable storage medium and executable by a processor, the method comprising:

• retrieving and scoring documents from the sources via the network;
• identifying one or more issues in each of the retrieved documents according to terms in the retrieved documents including:
• weighing each term in each of the retrieved documents with regard to a relevance of the term to each identified issue;
• indicating a distribution for identified issues within each of the retrieved documents;
• formally associating a limited list of specific issues with each retrieved document;
• determining summary metrics for each identified issue;
• and
• ranking the issues relative to each other based on weighted summary metrics.