Content optimization for audiences

A system for performing content optimization, the system comprising:

• an offline module, said offline module including
• an audience affect modeling module, wherein said audience affect modeling module processes historic text data and audience data to generate an audience affect model map;
• and
• a topic affect modeling module, wherein said topic affect modeling module processes historic text data and audience data to generate a topic affect model map;
• and,
• an online module, said online module including
• a text modification module, wherein said text modification module performs a content optimization of an input content document based upon said audience affect model map and said topic affect model map to generate an optimized content document.

A computer program product including one or more non-transitory machine-readable mediums encoded with instructions that when executed by one or more processors cause a process to be carried out for performing a content optimization, the process comprising:

• processing historic data to generate an audience affect model map, wherein said audience affect model map provides a mapping between a pair of communities and a probability distribution characterizing at least one affect;
• processing historic data to generate a topic affect model map, wherein said topic model map provides a mapping between a topic and a probability distribution characterizing at least one affect;
• and
• performing a content optimization on an unoptimized content document, using said audience affect model map and said topic affect model map by
• performing a candidate word selection using said audience affect model map and said topic affect model map to generate a preliminary list of candidate words;
• pruning said preliminary list of candidate words to generate a final list of candidate words;
• generating candidate word transformations for selected words;
• and
• performing a transformation of said unoptimized content document using said generated candidate word transformations to generate an optimized content document.