Various systems and methods may aggregate content from one or more poll results database/sources, social media platforms, content sites, and/or other sources. For polling data, each category of results may correspond to direct responses to polling questions. For example, a question may be posed to respondents “Do you have a favorable or unfavorable impression of <Entity>?” in which “<Entity>” corresponds to an entity for which a brand score is being generated. The responses may include the categories such as: “Very Favorable,” “Somewhat Favorable,” “Somewhat Unfavorable,” “Very Unfavorable,” “Never Heard Of,” “Heard Of, but No Opinion.” For non-polling data, the system may parse the content (e.g., words or phrases, graphics such as “emoji”, comments, etc.) to categorize the non-polling data into one of the above categories, which may correspond to a polling category. Brand scores may be generated based on the polling data and/or the non-polling data.
SYSTEM AND METHOD OF AGGREGATING NETWORKED DATA AND INTEGRATING POLLING DATA TO GENERATE ENTITY-SPECIFIC SCORING METRICS