4. A personalized advertisement exposure method based on a speech recognition SMS service, comprising: receiving speech data of a user; converting the speech data into character strings; parsing the speech data to recognize an emotion state of the user; receiving position information of the user; parsing the character string to grasp a partially recognized context intension while the speech data continues to be converted into character strings, and then to grasp a context intention after the speech has been completely converted into the character strings; grasping a first intention of the user by using the position information and the partially recognized context intention while the speech data is being converted into the character strings; extracting a first advertisement from an advertising database while the speech data continues to be converted into the character strings and transmitting the extracted first advertisement to be displayed on user equipment, together with the character strings, grasping a second intention of the user by using the context intention that is based on completely converted speech data of the user, the emotion state, and the position information; extracting an optimal second advertisement from the advertising database based on the second intention of the user and transmitting the extracted optimal second advertisement to the user equipment after the speech data is converted into the character strings.
4. A personalized advertisement exposure method based on a speech recognition SMS service, comprising: receiving speech data of a user; converting the speech data into character strings; parsing the speech data to recognize an emotion state of the user; receiving position information of the user; parsing the character string to grasp a partially recognized context intension while the speech data continues to be converted into character strings, and then to grasp a context intention after the speech has been completely converted into the character strings; grasping a first intention of the user by using the position information and the partially recognized context intention while the speech data is being converted into the character strings; extracting a first advertisement from an advertising database while the speech data continues to be converted into the character strings and transmitting the extracted first advertisement to be displayed on user equipment, together with the character strings, grasping a second intention of the user by using the context intention that is based on completely converted speech data of the user, the emotion state, and the position information; extracting an optimal second advertisement from the advertising database based on the second intention of the user and transmitting the extracted optimal second advertisement to the user equipment after the speech data is converted into the character strings. 5. The personalized advertisement exposure method of claim 4 , wherein converting the speech data into the character strings includes: converting the speech data into feature vectors for speech recognition; and configuring a search space using information from an acoustic model and using information from a word model and performing recognition by extracting a word string having an optimal path for the speech feature vectors, wherein the acoustic model includes information obtained by modeling features and distributions generated by feature vectors for context-dependent phonemes configuring recognition object vocabularies, and the word model expresses information regarding words configuring the recognition object vocabularies and connection and correlation between the words as probability information.