Personality based sentiment analysis of textual information written in natural language

A method for providing to a receiver an ordered listing of a plurality of natural language media inputs together with representations of personality-based sentiments of said natural language media inputs, said method comprising:

• obtaining, at a sentiment analyzer implemented by a processor of a computer, said natural language media inputs;
• determining, by said sentiment analyzer using natural language processing on content of each of said natural language media inputs, a sentiment for each of said natural language media inputs;
• extracting, from each of said natural language media inputs, an identifier of an originator of said natural language media input;
• extracting, from a social media feed, on the basis of said identifier, data distinct from said content of said natural language media input and indicative of a personality of said originator of said natural language media input;
• determining, by a personality analyzer using linguistic analytics on said data indicative of said personality and distinct from said content of said natural language media input, a personality metric of said originator of each of said natural language media inputs;
• obtaining a personality-based sentiment for each of said natural language media inputs by said processor combining said sentiment of said natural language media input and said personality metric of said originator of said natural language media input;
• ordering said natural language media inputs into a listing that is prioritized in order of scores calculated for said personality-based sentiments of said natural language media inputs;
• determining, based on said scores, a representation for each of said personality-based sentiments of said natural language media inputs in said listing, wherein said representations are respective emoticons;
• and
• providing said listing of said natural language media inputs to said receiver, by said processor via a display of said computer, together with said respective emoticons of said representations of said personality-based sentiments of said natural language media inputs in said listing.