1. A method of generating emotional information in relation to content, the method comprising: acquiring a user image while the content is reproduced; extracting facial information from the user image; generating the emotional information in relation to the content, by comparing the facial information with facial expression template information, wherein the emotional information comprises a quantitative measure of a strength of an emotion corresponding to an emotion type; and transmitting the emotional information to a server which provides the content, wherein multiple user images of a same user in each scene are acquired, and the generating the emotional information comprises: extracting a plurality of pieces of the facial information from the user images; generating pieces of the emotional information corresponding to each piece of the facial information; identifying the emotion type in each piece of the generated emotional information; and generating a representative type of the emotion in each scene based on a number of times the emotion type is identified in corresponding pieces of the generated emotional information.
6. The method of claim 1 , further comprising, before generating the emotional information, normalizing a size of the extracted facial information in correspondence to a size of the facial expression template information.