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1. Topic modeling (ÅäÇÈ ¸ðÇü) ¼Ò°³ Topic ModelingÀº ÅؽºÆ® ÀÚ·á(¿¹: »ó´ã Ãà¾î·Ï, ¿Â¶óÀÎ »ó´ã °Ô½Ã¹° µî)¸¦ ¾çÀûÀ¸·Î ºÐ¼®ÇÏ´Â Åë°èÀû ¹æ¹ýÀÔ´Ï´Ù. ¿äÀκм®¿¡¼ ¹®Ç×µé °£ÀÇ »ó°üÀ» ÀÌ¿ëÇØ ¿äÀÎÀ» ã´Â °Íó·³ ÅؽºÆ® ÀÚ·á¿¡¼ ´Ü¾îµé°£ÀÇ ¿¬°ü °ü°è¸¦ ÀÌ¿ëÇØ ÀáÀçµÈ topicÀ» ÃßÃâÇÏ´Â ±â¹ýÀÔ´Ï´Ù. ºÐ¼® ´ë»óÀÌ ¹®Ç×ÀÌ ¾Æ´Ï¶ó ÅؽºÆ® ÀÚ·á¶ó´Â Á¡¿¡¼ Â÷ÀÌ°¡ ÀÖ½À´Ï´Ù. Topic modelingÀº ºòµ¥ÀÌŸ ºÐ¼®(big data analysis), ÀÚ¿¬¾î ó¸®(natural language processing), ±â°è ÇнÀ(machine learning) µî°ú ¹ÐÁ¢ÇÑ °ü·ÃÀÌ ÀÖ½À´Ï´Ù. 2. °»ç ¾à·Â ±è¼ºÇö ±³¼ö´Ô (¹Ì±¹ ǽ·¯´ëÇб³ ½É¸®ÇÐ ´ëÇпø Á¶±³¼ö) - ¼¿ï´ëÇб³ ±³À°Çаú Çлç, ¼®»ç - Florida State University Counseling Center ¼ö·Ã - University of Texas at Austin ¹Ú»ç 3. ¼¼ºÎ ÀÏÁ¤ 7¿ù 10ÀÏ (±Ý¿äÀÏ) : 1ÀÏÂ÷
9:00~9:30 | µî·Ï | 9:30~9:40 | Àλ縻: ±èµ¿¹Î(Çѱ¹»ó´ãÇÐȸ ¼¿ï°æ±âÀÎõ»ó´ãÇÐȸÀå) | 9:40~12:40 | 1. Topic modeling: ¼Ò°³ (¹ß´Þ»ç, °ü·Ã ¸ðÇü, °³³ä µî) 2. Topic modeling: È°¿ë (»ó´ã/ÀÓ»ó ½É¸®, ½É¸® °Ë»ç µî) 3. R ´Ù¿î·Îµå/¼³Ä¡ | 12:40~14:00 | Á¡½É½Ä»ç | 14:00~17:00 | 1. R ¼Ò°³: ÀڷᱸÁ¶ &¸í·É¾î µî 2. ÅؽºÆ® µ¥ÀÌÅÍÀÇ ÀÔ·Â &Àüó¸® (pre-processing) |
7¿ù 11ÀÏ (Åä¿äÀÏ) : 2ÀÏÂ÷
9:00~9:30 | µî·Ï | 9:30~12:30 | 1. Text analysis: Descriptives, »ó°ü, ±ºÁýºÐ¼® µî 2. Latent Dirichlet Allocation (LDA) ¼Ò°³ ¹× ºÐ¼®, ¿¹½Ã | 12:30~14:00 | Á¡½É½Ä»ç | 14:00~17:00 | 1. Correlated topic model: »ó°ü ÅäÇÈ ¸ðÇü 2. Dynamic topic model: Á¾´Ü ÅäÇÈ ¸ðÇü 3. Advanced topics: Çѱ¹ µ¥ÀÌÅ͸¦ È°¿ëÇÑ ¿¹½Ã |
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