Abstract: 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.

Abstract: Systems and methods may analyze polling results and generate polling results outputs based on respondent characteristics, generating slide documents using one or more polling results outputs, saving and sharing poll results outputs, and performing trending analytics based on polls. A poll results output may be dynamically generated and modified by monitoring user-provided filter parameters. The system may overlay secondary information related to poll responses to augment the customizable view of the poll results. The poll results output may be starred by a user so that the user may later access the poll results. The poll results output may be shared by the user through social networking platforms, content sites, and email and other communication channels. The system may perform trending analytics on the polling results in order to detect and display trends related to polls.