| 摘要 |
In order to achieve the above purpose, an apparatus for analyzing social data according to the present invention includes: a data collecting unit which collects data on content present in a server group through a communication network, and stores the collected data; a message analysis unit which analyzes the data in morphological units matched to a morpheme DB and an emotional vocabulary DB, tags the data with parts of speech in the morphological units, and searches out and stores emotional vocabularies; an emotion evaluation unit which receives, from the message analysis unit, unregistered vocabularies which are not tagged with parts of speed, performs emotion evaluation, and stores, in an emotion DB, standard language evaluation vocabularies corresponding to the unregistered vocabularies; an emotion analysis unit which performs an emotional engineering analysis of an emotion measurement target, based on a plurality of emotional vocabularies provided by the message analysis unit and the emotion evaluation unit, and extracts a main emotion image from the emotion measurement target; and an analysis result display unit which displays the emotion measurement target and the main emotion component on an image space in real time. The present invention can naturally identify mixed emotions based on ordinary language, slang, jargon, abbreviation, emoticon, etc. and can measure the hidden emotions of consumers by utilizing documents, internet comments, SNS message text data spontaneously made by the consumers. |
