System for predicting mood of user by using web content, and method therefor

A system for predicting an emotion of a user by using a web content comprising:

• a URL (uniform resource locator) collection unit for collecting a URL of a web page including a predetermined number of or more texts among a plurality of web pages connected using a web browser previously installed in a user terminal;
• a representative URL selection unit for selecting a category-specific representative URL, a basic emotion-specific representative URL, and a dimensional emotion-specific representative URL according to contents included in a plurality of collected URLs;
• a representative vocabulary set creation unit for creating vocabulary sets representing a category, a basic emotion, and a dimensional emotion, respectively, on the basis of the selected representative URLs;
• a vocabulary extraction unit for crawling a plurality of texts included in a web page of a URL to be classified, and then extracting a plurality of vocabularies which are classified into morpheme units through natural language processing (NLP);
• and
• a selection unit for comparing document similarities between the plurality of extracted vocabularies and the vocabulary sets representing a category, a basic emotion, and a dimensional emotion, respectively, which are created by the representative vocabulary set creation unit, and then selecting a category, a basic emotion, and a dimensional emotion of the web page.