Patent ID: 9710550
Date: 2017-07-18
CPC Classifications: G06F,G06Q

Claim:
1. A computer system for identifying and prioritizing issues in electronic documents from electronic social media sources and/or from traditional media sources, the computer system comprising: a communication network linked to one or more of the sources; a computer server in communication with the communication network, the computer server configured to receive electronic documents from the sources via the communication network; the computer server having memory and a processor, the memory including processor executable instructions stored in the memory 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, wherein the instructions for the determining summary metrics comprise core message instructions for determining a Volume V and a Tone T for each issue based on the number of retrieved documents, and terms in the retrieved documents, respectively, influencer instructions for determining an Influencer network strength I for each issue based on the entities identified within the retrieved documents, speed instructions for determining a Speed S for each issue based on a timing of the terms in the retrieved documents, and emotion instructions for determining an Emotion E for each issue; and instructions for ranking the issues relative to each other based on weighted summary metrics.