{"id":479155,"date":"2023-08-09T10:31:59","date_gmt":"2023-08-09T10:31:59","guid":{"rendered":""},"modified":"2023-09-05T11:18:15","modified_gmt":"2023-09-05T11:18:15","slug":"stemming-in-natural-language-processing","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/kr\/wiki\/stemming-in-natural-language-processing\/","title":{"rendered":"\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d"},"content":{"rendered":"

\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \ub2e8\uc5b4\ub97c \uae30\ubcf8 \ud615\ud0dc \ub610\ub294 \uc5b4\uadfc \ud615\ud0dc\ub85c \uc904\uc774\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \uae30\ubcf8 \uae30\uc220\uc785\ub2c8\ub2e4. \uc774 \ud504\ub85c\uc138\uc2a4\ub294 \ub2e8\uc5b4\ub97c \ud45c\uc900\ud654\ud558\uace0 \ub2e8\uc21c\ud654\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\ubbc0\ub85c NLP \uc54c\uace0\ub9ac\uc998\uc774 \ud14d\uc2a4\ud2b8\ub97c \ubcf4\ub2e4 \ud6a8\uc728\uc801\uc73c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \uc815\ubcf4 \uac80\uc0c9, \uac80\uc0c9 \uc5d4\uc9c4, \uac10\uc815 \ubd84\uc11d, \uae30\uacc4 \ubc88\uc5ed \ub4f1 \ub2e4\uc591\ud55c NLP \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \ud544\uc218\uc801\uc778 \uad6c\uc131 \uc694\uc18c\uc785\ub2c8\ub2e4. \uc774 \uae30\uc0ac\uc5d0\uc11c\ub294 NLP\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d\uc758 \uc5ed\uc0ac, \uc791\ub3d9 \ubc29\uc2dd, \uc720\ud615, \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8 \ubc0f \ubbf8\ub798 \uc804\ub9dd\uc744 \uc0b4\ud3b4\ubcf4\uace0 \ud2b9\ud788 OneProxy\uc758 \ub80c\uc988\ub97c \ud1b5\ud574 \ud504\ub85d\uc2dc \uc11c\ubc84\uc640\uc758 \uc7a0\uc7ac\uc801 \uc5f0\uad00\uc131\uc744 \uc870\uc0ac\ud569\ub2c8\ub2e4.<\/p>\n

\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud615\ud0dc\uc18c \ubd84\uc11d\uc758 \uc720\ub798\uc640 \uadf8\uc5d0 \ub300\ud55c \ucd5c\ucd08 \uc5b8\uae09\uc758 \uc5ed\uc0ac.<\/h2>\n

\ud615\ud0dc\uc18c \ubd84\uc11d\uc758 \uac1c\ub150\uc740 1960\ub144\ub300 \ucef4\ud4e8\ud130 \uc5b8\uc5b4\ud559 \ucd08\uae30\ub85c \uac70\uc2ac\ub7ec \uc62c\ub77c\uac11\ub2c8\ub2e4. 1980\ub144 Paice\uac00 \uac1c\ubc1c\ud55c Lancaster \ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \ucd5c\ucd08\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998 \uc911 \ud558\ub098\uc600\uc2b5\ub2c8\ub2e4. \uac19\uc740 \uc2dc\ub300\uc5d0 \ub9c8\ud2f4 \ud3ec\ud130(Martin Porter)\uac00 1980\ub144\uc5d0 \ub3c4\uc785\ud55c \ud3ec\ud130 \ud615\ud0dc\uc18c \ubd84\uc11d(Porter Stemming)\uc740 \uc0c1\ub2f9\ud55c \uc778\uae30\ub97c \uc5bb\uc5c8\uc73c\uba70 \uc624\ub298\ub0a0\uc5d0\ub3c4 \ub110\ub9ac \uc0ac\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. Porter \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc740 \uc601\uc5b4 \ub2e8\uc5b4\ub97c \ucc98\ub9ac\ud558\ub3c4\ub85d \uc124\uacc4\ub418\uc5c8\uc73c\uba70 \ub2e8\uc5b4\ub97c \uc5b4\uadfc \ud615\ud0dc\ub85c \uc790\ub974\ub294 \uacbd\ud5d8\uc801 \uaddc\uce59\uc744 \uae30\ubc18\uc73c\ub85c \ud569\ub2c8\ub2e4.<\/p>\n

\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \uc815\ubcf4\uc785\ub2c8\ub2e4. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud615\ud0dc\uc18c \ubd84\uc11d \uc8fc\uc81c \ud655\uc7a5.<\/h2>\n

\ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \ud2b9\ud788 \ud070 \ud14d\uc2a4\ud2b8 \ub9d0\ubb49\uce58\ub97c \ucc98\ub9ac\ud560 \ub54c NLP\uc758 \ud544\uc218 \uc804\ucc98\ub9ac \ub2e8\uacc4\uc785\ub2c8\ub2e4. \uc5b4\uac04\uc73c\ub85c \uc54c\ub824\uc9c4 \uc5b4\uadfc \ub610\ub294 \uae30\ubcf8 \ud615\ud0dc\ub97c \uc5bb\uae30 \uc704\ud574 \ub2e8\uc5b4\uc5d0\uc11c \uc811\ubbf8\uc0ac \ub610\ub294 \uc811\ub450\uc0ac\ub97c \uc81c\uac70\ud558\ub294 \uc791\uc5c5\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4. \ub2e8\uc5b4\ub97c \uc5b4\uac04\uc73c\ub85c \uc904\uc784\uc73c\ub85c\uc368 \ub3d9\uc77c\ud55c \ub2e8\uc5b4\uc758 \ubcc0\ud615\uc744 \uadf8\ub8f9\ud654\ud560 \uc218 \uc788\uc73c\ubbc0\ub85c \uc815\ubcf4 \uac80\uc0c9 \ubc0f \uac80\uc0c9 \uc5d4\uc9c4 \uc131\ub2a5\uc774 \ud5a5\uc0c1\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, "running", "runs" \ubc0f "ran"\uacfc \uac19\uc740 \ub2e8\uc5b4\ub294 \ubaa8\ub450 "run"\uc73c\ub85c \ud30c\uc0dd\ub429\ub2c8\ub2e4.<\/p>\n

\ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \uc815\ud655\ud55c \ub2e8\uc5b4 \uc77c\uce58\uac00 \ud544\uc694\ud558\uc9c0 \uc54a\uace0 \ub2e8\uc5b4\uc758 \uc77c\ubc18\uc801\uc778 \uc758\ubbf8\uc5d0 \uc911\uc810\uc744 \ub450\ub294 \uacbd\uc6b0\uc5d0 \ud2b9\ud788 \uc911\uc694\ud569\ub2c8\ub2e4. \uc774\ub294 \uac1c\ubcc4 \ub2e8\uc5b4 \ud615\uc2dd\ubcf4\ub2e4 \uc9c4\uc220\uc758 \uae30\ubcf8 \uac10\uc815\uc744 \uc774\ud574\ud558\ub294 \uac83\uc774 \ub354 \uc911\uc694\ud55c \uac10\uc815 \ubd84\uc11d\uacfc \uac19\uc740 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \ud2b9\ud788 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n

\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud615\ud0dc\uc18c \ubd84\uc11d\uc758 \ub0b4\ubd80 \uad6c\uc870. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud615\ud0dc\uc18c \ubd84\uc11d\uc774 \uc791\ub3d9\ud558\ub294 \ubc29\uc2dd.<\/h2>\n

\ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \ub2e8\uc5b4\uc5d0\uc11c \uc811\ub450\uc0ac \ub610\ub294 \uc811\ubbf8\uc0ac\ub97c \uc81c\uac70\ud558\uae30 \uc704\ud574 \uc77c\ub828\uc758 \uaddc\uce59 \ub610\ub294 \uacbd\ud5d8\uc801 \ubc29\ubc95\uc744 \ub530\ub985\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc740 \uc77c\ub828\uc758 \uc5b8\uc5b4\uc801 \ubcc0\ud615\uc73c\ub85c \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc815\ud655\ud55c \ub2e8\uacc4\uc640 \uaddc\uce59\uc740 \uc0ac\uc6a9\ub418\ub294 \uc54c\uace0\ub9ac\uc998\uc5d0 \ub530\ub77c \ub2e4\ub985\ub2c8\ub2e4. \ud615\ud0dc\uc18c \ubd84\uc11d\uc774 \uc791\ub3d9\ud558\ub294 \ubc29\uc2dd\uc5d0 \ub300\ud55c \uc77c\ubc18\uc801\uc778 \uac1c\uc694\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n

    \n
  1. \ud1a0\ud070\ud654: \ud14d\uc2a4\ud2b8\ub294 \uac1c\ubcc4 \ub2e8\uc5b4\ub098 \ud1a0\ud070\uc73c\ub85c \ubd84\ub958\ub429\ub2c8\ub2e4.<\/li>\n
  2. \uc811\ubbf8\uc0ac \uc81c\uac70: \uac01 \ub2e8\uc5b4\uc5d0\uc11c \uc811\ub450\uc0ac\uc640 \uc811\ubbf8\uc0ac\uac00 \uc81c\uac70\ub429\ub2c8\ub2e4.<\/li>\n
  3. \ud615\ud0dc\uc18c \ubd84\uc11d: \ub2e8\uc5b4(\uc5b4\uac04)\uc758 \ub098\uba38\uc9c0 \uc5b4\uadfc \ud615\ud0dc\ub97c \uc5bb\uc2b5\ub2c8\ub2e4.<\/li>\n
  4. \uacb0\uacfc: \ud615\ud0dc\uc18c \ud1a0\ud070\uc740 \ucd94\uac00 NLP \uc791\uc5c5\uc5d0 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n<\/ol>\n

    \uac01 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc740 \ud2b9\uc815 \uaddc\uce59\uc744 \uc801\uc6a9\ud558\uc5ec \uc811\uc0ac\ub97c \uc2dd\ubcc4\ud558\uace0 \uc81c\uac70\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 Porter \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc740 \uc77c\ub828\uc758 \uc811\ubbf8\uc0ac \uc81c\uac70 \uaddc\uce59\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc18\uba74 Snowball \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc740 \uc5ec\ub7ec \uc5b8\uc5b4\uc5d0 \ub300\ud55c \ubcf4\ub2e4 \uad11\ubc94\uc704\ud55c \uc5b8\uc5b4 \uaddc\uce59 \uc138\ud2b8\ub97c \ud1b5\ud569\ud569\ub2c8\ub2e4.<\/p>\n

    \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud615\ud0dc\uc18c \ubd84\uc11d\uc758 \uc8fc\uc694 \uae30\ub2a5 \ubd84\uc11d.<\/h2>\n

    NLP\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d\uc758 \uc8fc\uc694 \uae30\ub2a5\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n

      \n
    1. \n

      \uac04\ub2e8<\/strong>: \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc740 \uad6c\ud604\uc774 \uc0c1\ub300\uc801\uc73c\ub85c \uac04\ub2e8\ud558\ubbc0\ub85c \ub300\uaddc\ubaa8 \ud14d\uc2a4\ud2b8 \ucc98\ub9ac \uc791\uc5c5\uc5d0 \uacc4\uc0b0\uc801\uc73c\ub85c \ud6a8\uc728\uc801\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n

    2. \n

      \ud45c\uc900\ud654<\/strong>: \ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \ub2e8\uc5b4 \uc815\uaddc\ud654\uc5d0 \ub3c4\uc6c0\uc774 \ub418\uba70 \uad74\uc808 \ud615\ud0dc\ub97c \uacf5\ud1b5 \uae30\ubcf8 \ud615\ud0dc\ub85c \uc904\uc5ec \uad00\ub828 \ub2e8\uc5b4\ub97c \uadf8\ub8f9\ud654\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n

    3. \n

      \uac80\uc0c9 \uacb0\uacfc \uac1c\uc120<\/strong>: \ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \uc720\uc0ac\ud55c \ub2e8\uc5b4 \ud615\uc2dd\uc744 \ub3d9\uc77c\ud558\uac8c \ucc98\ub9ac\ud558\uc5ec \ubcf4\ub2e4 \uad00\ub828\uc131\uc774 \ub192\uc740 \uac80\uc0c9 \uacb0\uacfc\ub97c \uc81c\uacf5\ud568\uc73c\ub85c\uc368 \uc815\ubcf4 \uac80\uc0c9\uc744 \ud5a5\uc0c1\uc2dc\ud0b5\ub2c8\ub2e4.<\/p>\n<\/li>\n

    4. \n

      \uc5b4\ud718 \uac10\uc18c<\/strong>: Stemming\uc740 \uc720\uc0ac\ud55c \ub2e8\uc5b4\ub97c \ucd95\uc18c\ud558\uc5ec \uc5b4\ud718 \ud06c\uae30\ub97c \uc904\uc5ec \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc758 \uc800\uc7a5 \ubc0f \ucc98\ub9ac\ub97c \ubcf4\ub2e4 \ud6a8\uc728\uc801\uc73c\ub85c \uc218\ud589\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n

    5. \n

      \uc5b8\uc5b4 \uc758\uc874\uc131<\/strong>: \ub300\ubd80\ubd84\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc740 \ud2b9\uc815 \uc5b8\uc5b4\uc6a9\uc73c\ub85c \uc124\uacc4\ub418\uc5c8\uc73c\uba70 \ub2e4\ub978 \uc5b8\uc5b4\uc5d0\uc11c\ub294 \ucd5c\uc801\uc73c\ub85c \uc791\ub3d9\ud558\uc9c0 \uc54a\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc815\ud655\ud55c \uacb0\uacfc\ub97c \uc5bb\uc73c\ub824\uba74 \uc5b8\uc5b4\ubcc4 \uc5b4\uac04 \ucd94\ucd9c \uaddc\uce59\uc744 \uac1c\ubc1c\ud558\ub294 \uac83\uc774 \ud544\uc218\uc801\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n

      \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d \uc720\ud615<\/h2>\n

      NLP\uc5d0\ub294 \uc5ec\ub7ec \uac00\uc9c0 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc774 \uc788\uc73c\uba70 \uac01 \uc54c\uace0\ub9ac\uc998\uc5d0\ub294 \uace0\uc720\ud55c \uc7a5\uc810\uacfc \ud55c\uacc4\uac00 \uc788\uc2b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998 \uc911 \uc77c\ubd80\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n\n\n\n\n\n
      \uc5f0\uc0b0<\/th>\n\uc124\uba85<\/th>\n<\/tr>\n<\/thead>\n
      \ud3ec\ud130 \uc2a4\ud14c\ubc0d<\/td>\n\uac04\ub2e8\ud558\uace0 \ud6a8\uc728\uc801\uc778 \uc601\uc5b4 \ub2e8\uc5b4\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/td>\n<\/tr>\n
      \ub208\ub369\uc774 \ud615\ud0dc\uc18c \ubd84\uc11d<\/td>\nPorter \ud615\ud0dc\uc18c \ubd84\uc11d\uc758 \ud655\uc7a5\uc73c\ub85c \uc5ec\ub7ec \uc5b8\uc5b4\ub97c \uc9c0\uc6d0\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n
      \ub7ad\ucee4\uc2a4\ud130 \ud615\ud0dc\uc18c \ubd84\uc11d<\/td>\nPorter Stemming\ubcf4\ub2e4 \uacf5\uaca9\uc801\uc774\uba70 \uc18d\ub3c4\uc5d0 \uc911\uc810\uc744 \ub461\ub2c8\ub2e4.<\/td>\n<\/tr>\n
      \ub85c\ube48\uc2a4 \ud615\ud0dc\uc18c \ubd84\uc11d<\/td>\n\ubd88\uaddc\uce59\ud55c \ub2e8\uc5b4 \ud615\ud0dc\ub97c \ubcf4\ub2e4 \ud6a8\uacfc\uc801\uc73c\ub85c \ucc98\ub9ac\ud558\uae30 \uc704\ud574 \uac1c\ubc1c\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \uc790\uc5f0\uc5b4\ucc98\ub9ac\uc5d0\uc11c Stemming\uc744 \ud65c\uc6a9\ud558\ub294 \ubc29\ubc95\uacfc \ud65c\uc6a9\uc5d0 \ub530\ub978 \ubb38\uc81c\uc810 \ubc0f \ud574\uacb0\ubc29\ubc95\uc744 \uc18c\uac1c\ud569\ub2c8\ub2e4.<\/h2>\n

      \ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \ub2e4\uc591\ud55c NLP \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \uc0ac\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

        \n
      1. \n

        \uc815\ubcf4 \uac80\uc0c9<\/strong>: Stemming\uc740 \uac80\uc0c9\uc5b4\uc640 \uc0c9\uc778\ub41c \ubb38\uc11c\ub97c \uae30\ubcf8 \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\uc5ec \ub354 \ub098\uc740 \uc77c\uce58\ub97c \uc81c\uacf5\ud568\uc73c\ub85c\uc368 \uac80\uc0c9 \uc5d4\uc9c4 \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ub370 \ud65c\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n

      2. \n

        \uac10\uc131\ubd84\uc11d<\/strong>: \uac10\uc815 \ubd84\uc11d\uc5d0\uc11c \ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \ub2e8\uc5b4 \ubcc0\ud615\uc744 \uc904\uc5ec \ubb38\uc7a5\uc758 \uac10\uc815\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \ud3ec\ucc29\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n

      3. \n

        \uae30\uacc4 \ubc88\uc5ed<\/strong>: \ubc88\uc5ed \uc804 \ud14d\uc2a4\ud2b8 \uc804\ucc98\ub9ac\uc5d0 \ud615\ud0dc\uc18c \ubd84\uc11d\uc744 \uc801\uc6a9\ud558\uc5ec \uacc4\uc0b0 \ubcf5\uc7a1\uc131\uc744 \uc904\uc774\uace0 \ubc88\uc5ed \ud488\uc9c8\uc744 \ud5a5\uc0c1\uc2dc\ud0b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n

        \uc7a5\uc810\uc5d0\ub3c4 \ubd88\uad6c\ud558\uace0 \ud615\ud0dc\uc18c \ubd84\uc11d\uc5d0\ub294 \uba87 \uac00\uc9c0 \ub2e8\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

          \n
        1. \n

          \uacfc\uc789 \uc5b4\uc74c<\/strong>: \uc77c\ubd80 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc740 \ub2e8\uc5b4\ub97c \uacfc\ub3c4\ud558\uac8c \uc798\ub77c\uc11c \ubb38\ub9e5\uc774 \uc190\uc2e4\ub418\uace0 \uc798\ubabb\ub41c \ud574\uc11d\uc774 \ubc1c\uc0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n

        2. \n

          \uacfc\uc18c\ud3c9\uac00<\/strong>: \ub300\uc870\uc801\uc73c\ub85c, \ud2b9\uc815 \uc54c\uace0\ub9ac\uc998\uc740 \uc811\uc0ac\ub97c \ucda9\ubd84\ud788 \uc81c\uac70\ud558\uc9c0 \ubabb\ud558\uc5ec \ub2e8\uc5b4 \uadf8\ub8f9\ud654\uc758 \ud6a8\uc728\uc131\uc774 \ub5a8\uc5b4\uc9d1\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n

          \uc774\ub7ec\ud55c \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud574 \uc5f0\uad6c\uc790\ub4e4\uc740 \uc5ec\ub7ec \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc744 \uacb0\ud569\ud558\uac70\ub098 \ubcf4\ub2e4 \ubc1c\uc804\ub41c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\uc220\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc815\ud655\ub3c4\ub97c \ub192\uc774\ub294 \ud558\uc774\ube0c\ub9ac\ub4dc \uc811\uadfc \ubc29\uc2dd\uc744 \uc81c\uc548\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n

          \uc8fc\uc694 \ud2b9\uc9d5 \ubc0f \uae30\ud0c0 \uc720\uc0ac\ud55c \uc6a9\uc5b4\uc640\uc758 \ube44\uad50\ub97c \ud45c\uc640 \ubaa9\ub85d \ud615\ud0dc\ub85c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/h2>\n

          \ud615\ud0dc\uc18c \ubd84\uc11d\uacfc \ud45c\uc808 \ubd84\uc11d<\/strong>:<\/p>\n\n\n\n\n\n\n\n
          \uce21\uba74<\/th>\n\ud615\ud0dc\uc18c \ubd84\uc11d<\/th>\n\ud45c\uc808\ud654<\/th>\n<\/tr>\n<\/thead>\n
          \uc0b0\ucd9c<\/td>\n\ub2e8\uc5b4\uc758 \uae30\ubcf8\ud615(\uc5b4\uac04)<\/td>\n\ub2e8\uc5b4\uc758 \uc0ac\uc804\ud615(lemma)<\/td>\n<\/tr>\n
          \uc815\ud655\uc131<\/td>\n\uc815\ud655\ub3c4\uac00 \ub0ae\uace0 \uc0ac\uc804\uc5d0 \uc5c6\ub294 \ub2e8\uc5b4\uac00 \ub098\uc62c \uc218 \uc788\uc74c<\/td>\n\ub354 \uc815\ud655\ud558\uace0 \uc720\ud6a8\ud55c \uc0ac\uc804 \ub2e8\uc5b4\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n
          \uc0ac\uc6a9 \uc0ac\ub840<\/td>\n\uc815\ubcf4 \uac80\uc0c9, \uac80\uc0c9 \uc5d4\uc9c4<\/td>\n\ud14d\uc2a4\ud2b8 \ubd84\uc11d, \uc5b8\uc5b4 \uc774\ud574, \uba38\uc2e0\ub7ec\ub2dd<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998 \ube44\uad50<\/strong>:<\/p>\n\n\n\n\n\n\n\n\n
          \uc5f0\uc0b0<\/th>\n\uc7a5\uc810<\/th>\n\uc81c\ud55c\uc0ac\ud56d<\/th>\n<\/tr>\n<\/thead>\n
          \ud3ec\ud130 \uc2a4\ud14c\ubc0d<\/td>\n\uac04\ub2e8\ud558\uace0 \ub110\ub9ac \uc0ac\uc6a9\ub428<\/td>\n\ud2b9\uc815 \ub2e8\uc5b4\ub97c \uacfc\uc7a5\ud558\uac70\ub098 \uacfc\uc18c\ud3c9\uac00\ud560 \uc218 \uc788\uc74c<\/td>\n<\/tr>\n
          \ub208\ub369\uc774 \ud615\ud0dc\uc18c \ubd84\uc11d<\/td>\n\ub2e4\uad6d\uc5b4 \uc9c0\uc6d0<\/td>\n\ub2e4\ub978 \uc54c\uace0\ub9ac\uc998\ubcf4\ub2e4 \ub290\ub9bc<\/td>\n<\/tr>\n
          \ub7ad\ucee4\uc2a4\ud130 \ud615\ud0dc\uc18c \ubd84\uc11d<\/td>\n\uc18d\ub3c4\uc640 \uacf5\uaca9\uc131<\/td>\n\ub108\ubb34 \uacf5\uaca9\uc801\uc774\uc5b4\uc11c \uc758\ubbf8 \uc0c1\uc2e4\ub85c \uc774\uc5b4\uc9c8 \uc218 \uc788\uc74c<\/td>\n<\/tr>\n
          \ub85c\ube48\uc2a4 \ud615\ud0dc\uc18c \ubd84\uc11d<\/td>\n\ubd88\uaddc\uce59\ud55c \ub2e8\uc5b4 \ud615\ud0dc\uc5d0 \ud6a8\uacfc\uc801<\/td>\n\uc601\uc5b4 \uc774\uc678\uc758 \uc5b8\uc5b4\ub294 \uc81c\ud55c\uc801\uc73c\ub85c \uc9c0\uc6d0\ub429\ub2c8\ub2e4.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d\uc5d0 \uad00\ud55c \ubbf8\ub798\uc758 \uad00\uc810\uacfc \uae30\uc220.<\/h2>\n

          NLP\uc5d0\uc11c \ud615\ud0dc\uc18c \ubd84\uc11d\uc758 \ubbf8\ub798\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ubd84\uc57c\uc5d0 \ucd08\uc810\uc744 \ub9de\ucd98 \uc9c0\uc18d\uc801\uc778 \uc5f0\uad6c\uc640 \ubc1c\uc804\uc744 \ud1b5\ud574 \uc720\ub9dd\ud569\ub2c8\ub2e4.<\/p>\n

            \n
          1. \n

            \uc0c1\ud669 \uc778\uc2dd \ud615\ud0dc\uc18c \ubd84\uc11d<\/strong>: \ubb38\ub9e5\uacfc \uc8fc\ubcc0 \ub2e8\uc5b4\ub97c \uace0\ub824\ud55c \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc744 \uac1c\ubc1c\ud558\uc5ec \uacfc\uc789 \ud615\ud0dc\uc18c \ubc29\uc9c0 \ubc0f \uc815\ud655\uc131 \ud5a5\uc0c1<\/p>\n<\/li>\n

          2. \n

            \ub525\ub7ec\ub2dd \uae30\ubc95<\/strong>: \ud2b9\ud788 \ubcf5\uc7a1\ud55c \ud615\ud0dc\ud559\uc801 \uad6c\uc870\ub97c \uac00\uc9c4 \uc5b8\uc5b4\uc5d0\uc11c \ud615\ud0dc\uc18c \ubd84\uc11d \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\uae30 \uc704\ud574 \uc2e0\uacbd\ub9dd\uacfc \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \ud65c\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n

          3. \n

            \ub2e4\uad6d\uc5b4 \ud615\ud0dc\uc18c \ubd84\uc11d<\/strong>: \uc5ec\ub7ec \uc5b8\uc5b4\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ucc98\ub9ac\ud558\uae30 \uc704\ud574 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc744 \ud655\uc7a5\ud558\uc5ec NLP \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \ub354 \uad11\ubc94\uc704\ud55c \uc5b8\uc5b4 \uc9c0\uc6d0\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n

            \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \uc0ac\uc6a9\ud558\uac70\ub098 \ud615\ud0dc\uc18c \ubd84\uc11d\uacfc \uc5f0\uacb0\ud558\ub294 \ubc29\ubc95.<\/h2>\n

            OneProxy\uc640 \uac19\uc740 \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 NLP \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0\uc11c \ud615\ud0dc\uc18c \ubd84\uc11d \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5f0\uacb0\ub420 \uc218 \uc788\ub294 \uba87 \uac00\uc9c0 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n

              \n
            1. \n

              \ub370\uc774\ud130 \uc218\uc9d1<\/strong>: \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ub2e4\uc591\ud55c \uc18c\uc2a4\ub85c\ubd80\ud130 \ub370\uc774\ud130 \uc218\uc9d1\uc744 \uc6a9\uc774\ud558\uac8c \ud558\uc5ec \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998 \ud6c8\ub828\uc744 \uc704\ud55c \ub2e4\uc591\ud55c \ud14d\uc2a4\ud2b8\uc5d0 \ub300\ud55c \uc561\uc138\uc2a4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n

            2. \n

              \ud655\uc7a5\uc131<\/strong>: \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 NLP \uc791\uc5c5\uc744 \uc5ec\ub7ec \ub178\ub4dc\uc5d0 \ubd84\uc0b0\ud558\uc5ec \ub300\uaddc\ubaa8 \ud14d\uc2a4\ud2b8 \ub9d0\ubb49\uce58\uc5d0 \ub300\ud55c \ud655\uc7a5\uc131\uacfc \ube60\ub978 \ucc98\ub9ac\ub97c \ubcf4\uc7a5\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n

            3. \n

              \uc2a4\ud06c\ub798\ud551\uc744 \uc704\ud55c \uc775\uba85\uc131<\/strong>: NLP \uc791\uc5c5\uc744 \uc704\ud574 \uc6f9\uc0ac\uc774\ud2b8\uc5d0\uc11c \ud14d\uc2a4\ud2b8\ub97c \uc2a4\ud06c\ub7a9\ud560 \ub54c \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \uc775\uba85\uc131\uc744 \uc720\uc9c0\ud558\uc5ec IP \uae30\ubc18 \ucc28\ub2e8\uc744 \ubc29\uc9c0\ud558\uace0 \uc911\ub2e8 \uc5c6\ub294 \ub370\uc774\ud130 \uac80\uc0c9\uc744 \ubcf4\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n

              NLP \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc740 \ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \ud65c\uc6a9\ud558\uc5ec \ub354 \uad11\ubc94\uc704\ud55c \uc5b8\uc5b4 \ub370\uc774\ud130\uc5d0 \uc561\uc138\uc2a4\ud558\uace0 \ub354 \ud6a8\uc728\uc801\uc73c\ub85c \uc791\ub3d9\ud560 \uc218 \uc788\uc73c\uba70 \uad81\uadf9\uc801\uc73c\ub85c \ub354 \ub098\uc740 \uc131\ub2a5\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998\uc73c\ub85c \uc774\uc5b4\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

              \uad00\ub828\ub41c \ub9c1\ud06c\ub4e4<\/h2>\n

              \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \ub0b4\uc6a9\uc740 \ub2e4\uc74c \ub9ac\uc18c\uc2a4\ub97c \ucc38\uc870\ud558\uc2ed\uc2dc\uc624.<\/p>\n

                \n
              1. \ud615\ud0dc\uc18c \ubd84\uc11d\uc5d0 \ub300\ud55c \ubd80\ub4dc\ub7ec\uc6b4 \uc18c\uac1c<\/a><\/li>\n
              2. NLTK\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998 \ube44\uad50<\/a><\/li>\n
              3. scikit-learn\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998<\/a><\/li>\n
              4. \ud3ec\ud130 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998<\/a><\/li>\n
              5. \ub7ad\ucee4\uc2a4\ud130 \ud615\ud0dc\uc18c \ubd84\uc11d \uc54c\uace0\ub9ac\uc998<\/a><\/li>\n<\/ol>\n

                \uacb0\ub860\uc801\uc73c\ub85c, \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \ub2e8\uc5b4\ub97c \ub2e8\uc21c\ud654\ud558\uace0 \ud45c\uc900\ud654\ud558\uc5ec \ub2e4\uc591\ud55c NLP \uc751\uc6a9 \ud504\ub85c\uadf8\ub7a8\uc758 \ud6a8\uc728\uc131\uacfc \uc815\ud655\uc131\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \uc911\uc694\ud55c \uae30\uc220\uc785\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd\uacfc NLP \uc5f0\uad6c\uc758 \ubc1c\uc804\uc73c\ub85c \uacc4\uc18d \ubc1c\uc804\ud558\uace0 \uc788\uc73c\uba70 \ud765\ubbf8\ub85c\uc6b4 \ubbf8\ub798 \uc804\ub9dd\uc744 \uc57d\uc18d\ud569\ub2c8\ub2e4. OneProxy\uc640 \uac19\uc740 \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 NLP \uc791\uc5c5\uc744 \uc704\ud55c \ub370\uc774\ud130 \uc218\uc9d1, \ud655\uc7a5\uc131 \ubc0f \uc775\uba85 \uc6f9 \uc2a4\ud06c\ub798\ud551\uc744 \ud65c\uc131\ud654\ud558\uc5ec \ud615\ud0dc\uc18c \ubd84\uc11d\uc744 \uc9c0\uc6d0\ud558\uace0 \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4. NLP \uae30\uc220\uc774 \uacc4\uc18d \ubc1c\uc804\ud568\uc5d0 \ub530\ub77c \ud615\ud0dc\uc18c \ubd84\uc11d\uc740 \uc5b8\uc5b4 \ucc98\ub9ac \ubc0f \uc774\ud574\uc758 \uae30\ubcf8 \uad6c\uc131 \uc694\uc18c\ub85c \ub0a8\uc744 \uac83\uc785\ub2c8\ub2e4.<\/p>","protected":false},"featured_media":470607,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479155","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Stemming in Natural Language Processing<\/mark>","faq_items":[{"question":"What is Stemming in Natural Language Processing?","answer":"

                Stemming in Natural Language Processing (NLP) is a technique used to reduce words to their base or root form. It simplifies words by removing suffixes and prefixes, enabling NLP algorithms to process text more efficiently.<\/p>"},{"question":"How does Stemming work?","answer":"

                Stemming algorithms follow specific rules to remove affixes from words and obtain their root form, known as the stem. This process involves tokenization, affix removal, and stemming.<\/p>"},{"question":"What are the key features of Stemming in NLP?","answer":"

                The key features of stemming include its simplicity, normalization of words, improved search results, reduced vocabulary size, and language dependency. Stemming is particularly useful for information retrieval and sentiment analysis.<\/p>"},{"question":"What types of Stemming algorithms exist?","answer":"

                Several popular stemming algorithms are used in NLP, including Porter Stemming, Snowball Stemming, Lancaster Stemming, and Lovins Stemming. Each algorithm has its strengths and limitations.<\/p>"},{"question":"In which NLP applications is Stemming used?","answer":"

                Stemming is employed in various NLP applications, such as information retrieval, search engines, sentiment analysis, and machine translation. It aids in improving search engine performance and enhancing sentiment analysis accuracy.<\/p>"},{"question":"What are the advantages of Stemming?","answer":"

                Stemming simplifies words, normalizes vocabulary, and reduces computational complexity. It is particularly beneficial when exact word matching is not required, and the focus is on the general sense of a word.<\/p>"},{"question":"What are the limitations of Stemming?","answer":"

                Stemming may result in overstemming or understemming, leading to loss of context and incorrect interpretations. Some stemming algorithms may also be language-specific and less effective for languages other than English.<\/p>"},{"question":"What is the future outlook for Stemming in NLP?","answer":"

                The future of stemming in NLP looks promising with ongoing research on context-aware stemming, deep learning techniques, and multilingual support. These advancements will enhance accuracy and broaden language coverage.<\/p>"},{"question":"How can proxy servers be associated with Stemming in NLP?","answer":"

                Proxy servers, like OneProxy, can be beneficial for data collection, scalability, and anonymous web scraping in NLP tasks. They enable broader access to linguistic data, leading to more efficient and accurate stemming algorithms.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/479155","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/479155\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media\/470607"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media?parent=479155"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}