System and method for segmenting social media participants by attitudinal segment

A system, comprising:

• a computing device, wherein the computing device comprises a processor and is configured to access social media information;
• an instance module communicably connected to the processor, wherein the instance module is configured to identify at least one of the following:
• a high-frequency word included in the social media information;
• and
• a high-frequency phrase included in the accessed social media information;
• a topics module communicably connected to the processor, wherein the topics module is configured to generate a dictionary of topics associated with the accessed social media information;
• an analysis module communicably connected to the processor, wherein the analysis module is configured to analyze data from a plurality of social media accounts to generate a social media database;
• a matching module communicably connected to the processor, wherein the matching module is configured to match a survey respondent with an associated user name included in the social media database;
• a modeling module communicably connected to the processor, wherein the modeling module is configured to generate a predictive algorithm which predicts how closely the survey respondent fits a desired target attitudinal profile;
• and
• a targeting module communicably connected to the processor, wherein the targeting module is configured to apply the predictive algorithm to each user account in the generated social media database.