{"id":828,"date":"2023-03-05T11:42:26","date_gmt":"2023-03-05T11:42:26","guid":{"rendered":"http:\/\/147.182.205.39\/lesson\/%e0%a4%aa%e0%a4%be%e0%a4%a0-16-%e0%a4%aa%e0%a5%8d%e0%a4%b0%e0%a4%be%e0%a4%95%e0%a5%83%e0%a4%a4%e0%a4%bf%e0%a4%95-%e0%a4%ad%e0%a4%be%e0%a4%b7%e0%a4%be-%e0%a4%b8%e0%a4%82%e0%a4%b8%e0%a4%be%e0%a4%a7\/"},"modified":"2023-03-17T08:32:12","modified_gmt":"2023-03-17T08:32:12","slug":"%e0%a4%aa%e0%a4%be%e0%a4%a0-16-%e0%a4%aa%e0%a5%8d%e0%a4%b0%e0%a4%be%e0%a4%95%e0%a5%83%e0%a4%a4%e0%a4%bf%e0%a4%95-%e0%a4%ad%e0%a4%be%e0%a4%b7%e0%a4%be-%e0%a4%b8%e0%a4%82%e0%a4%b8%e0%a4%be%e0%a4%a7","status":"publish","type":"lesson","link":"https:\/\/stemlab.org.in\/hi\/lesson\/%e0%a4%aa%e0%a4%be%e0%a4%a0-16-%e0%a4%aa%e0%a5%8d%e0%a4%b0%e0%a4%be%e0%a4%95%e0%a5%83%e0%a4%a4%e0%a4%bf%e0%a4%95-%e0%a4%ad%e0%a4%be%e0%a4%b7%e0%a4%be-%e0%a4%b8%e0%a4%82%e0%a4%b8%e0%a4%be%e0%a4%a7\/","title":{"rendered":"Lesson 16: Natural Language Processing"},"content":{"rendered":"

Natural Language Processing<\/h2>\n

Natural Language Processing,<\/em><\/strong> NLP<\/strong> \u0915\u0947 \u0930\u0942\u092a \u092e\u0947\u0902 \u0938\u0902\u0915\u094d\u0937\u093f\u092a\u094d\u0924, \u0906\u0930\u094d\u091f\u093f\u092b\u0940\u0938\u093f\u092f\u0932 \u0907\u0902\u091f\u0947\u0932\u093f\u091c\u0947\u0902\u0938 (artificial intelligence) \u0915\u0940 \u090f\u0915 \u0936\u093e\u0916\u093e \u0939\u0948 \u091c\u094b \u092a\u094d\u0930\u093e\u0915\u0943\u0924\u093f\u0915 (natural) \u092d\u093e\u0937\u093e \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u0915\u0902\u092a\u094d\u092f\u0942\u091f\u0930 \u0914\u0930 \u092e\u0928\u0941\u0937\u094d\u092f\u094b\u0902 \u0915\u0947 \u092c\u0940\u091a \u092c\u093e\u0924\u091a\u0940\u0924 \u0938\u0947 \u0938\u0902\u092c\u0902\u0927\u093f\u0924 \u0939\u0948\u0964<\/em><\/p><\/blockquote>\n

\u0928\u0947\u091a\u0941\u0930\u0932 \u0932\u0948\u0902\u0917\u094d\u0935\u0947\u091c \u0909\u0938 \u092d\u093e\u0937\u093e \u0915\u094b \u0930\u091a\u0928\u093e \u0915\u0930\u0924\u0940 \u0939\u0948 \u091c\u094b \u0932\u094b\u0917\u094b\u0902 \u0926\u094d\u0935\u093e\u0930\u093e \u092c\u094b\u0932\u0940 \u0914\u0930 \u0932\u093f\u0916\u0940 \u091c\u093e\u0924\u0940 \u0939\u0948, \u0914\u0930 natural language processing (NLP) \u090f\u0932\u094d\u0917\u094b\u0930\u093f\u0926\u092e \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u092c\u094b\u0932\u0947 \u0917\u090f \u0914\u0930 \u0932\u093f\u0916\u093f\u0924 \u0936\u092c\u094d\u0926 \u0938\u0947 \u091c\u093e\u0928\u0915\u093e\u0930\u0940 \u0928\u093f\u0915\u093e\u0932\u0928\u0947 \u0915\u093e \u092a\u094d\u0930\u092f\u093e\u0938 \u0915\u0930\u0924\u0940 \u0939\u0948\u0964<\/p>\n

NLP \u0915\u093e \u0905\u0902\u0924\u093f\u092e \u0909\u0926\u094d\u0926\u0947\u0936\u094d\u092f \u092e\u093e\u0928\u0935\u0940\u092f \u092d\u093e\u0937\u093e\u0913\u0902 \u0915\u094b \u0907\u0938 \u0924\u0930\u0939 \u0938\u0947 \u092a\u0922\u093c\u0928\u093e, \u0938\u092e\u091d\u0928\u093e \u0939\u0948 \u091c\u094b \u092e\u0942\u0932\u094d\u092f\u0935\u093e\u0928 \u0939\u094b\u0964<\/p>\n

Examples of NLP<\/h3>\n
    \n
  1. Email Filters:<\/strong> \u0908\u092e\u0947\u0932 \u092b\u093c\u093f\u0932\u094d\u091f\u0930 NLP \u0915\u0947 \u0938\u092c\u0938\u0947 \u092c\u0941\u0928\u093f\u092f\u093e\u0926\u0940 \u0914\u0930 \u092a\u094d\u0930\u093e\u0930\u0902\u092d\u093f\u0915 \u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902 \u092e\u0947\u0902 \u0938\u0947 \u090f\u0915 \u0939\u0948\u0902\u0964 \u092f\u0939 \u0938\u094d\u092a\u0948\u092e (spam) \u092b\u093f\u0932\u094d\u091f\u0930 \u0915\u0947 \u0938\u093e\u0925 \u0936\u0941\u0930\u0942 \u0939\u0941\u0906, \u0915\u0941\u091b \u0910\u0938\u0947 \u0936\u092c\u094d\u0926\u094b\u0902 \u092f\u093e \u0935\u093e\u0915\u094d\u092f\u093e\u0902\u0936\u094b\u0902 \u0915\u094b \u0909\u091c\u093e\u0917\u0930 \u0915\u0930\u0924\u093e \u0939\u0948 \u091c\u094b \u0938\u094d\u092a\u0948\u092e \u0938\u0902\u0926\u0947\u0936 (message) \u0915\u094b \u0938\u0902\u0915\u0947\u0924 \u0926\u0947\u0924\u0947 \u0939\u0948\u0902\u0964\"\"<\/li>\n
  2. Smart Assistants:<\/strong> \u090f\u092a\u094d\u092a\u0932 \u0915\u0947 \u0938\u093f\u0930\u0940 \u0914\u0930 \u0905\u092e\u0947\u091c\u093c\u0945\u0928 \u0915\u0947 \u090f\u0932\u0947\u0915\u094d\u0938\u093e \u091c\u0948\u0938\u0947 \u0938\u094d\u092e\u093e\u0930\u094d\u091f \u0938\u0939\u093e\u092f\u0915 \u092d\u093e\u0937\u0923 \u092e\u0947\u0902 \u092a\u0948\u091f\u0930\u094d\u0928 \u0915\u094b \u092a\u0939\u091a\u093e\u0928\u0924\u0947 \u0939\u0948\u0902, \u092b\u093f\u0930 \u0905\u0930\u094d\u0925 \u0915\u093e \u0905\u0928\u0941\u092e\u093e\u0928 \u0932\u0917\u093e\u0924\u0947 \u0939\u0948\u0902 \u0914\u0930 \u0909\u092a\u092f\u094b\u0917\u0940 \u092a\u094d\u0930\u0924\u093f\u0915\u094d\u0930\u093f\u092f\u093e \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u0947 \u0939\u0948\u0902\u0964<\/li>\n<\/ol>\n

    \"\"<\/p>\n

    NLP in PictoBlox<\/h3>\n

    \u091f\u0947\u0915\u094d\u0938\u094d\u091f \u0915\u094d\u0932\u093e\u0938\u093f\u092b\u093e\u092f\u0930\u093f\u092f\u0930 (text classifier) \u092c\u0928\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f, \u0939\u092e\u093e\u0930\u0947 \u092a\u093e\u0938 Natural Language Processing<\/strong> \u090f\u0915\u094d\u0938\u091f\u0947\u0902\u0936\u0928 \u0939\u0948\u0964 \u0906\u0907\u090f \u0926\u0947\u0916\u0947\u0902 \u0915\u093f \u0935\u093e\u0938\u094d\u0924\u0935\u093f\u0915 \u091c\u0940\u0935\u0928 \u0915\u0947 \u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902 \u0915\u094b \u092c\u0928\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0939\u092e \u0907\u0938\u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964\"\"<\/p>\n

    Activity: Text Classifier with NLP<\/h2>\n

    \u0906\u0907\u090f PictoBlox \u0915\u094b \u0915\u093f\u0938\u0940 \u0938\u0902\u0926\u0947\u0936 \u0915\u094b \u0930\u094b\u0936\u0928\u0940 \u091a\u093e\u0932\u0942 \u0915\u0930\u0928\u0947 (turning OFF lights)<\/strong> \u092f\u093e \u0930\u094b\u0936\u0928\u0940 \u092c\u0902\u0926 \u0915\u0930\u0928\u0947 \u0915\u0947 (turning OFF lights)<\/strong> \u0930\u0942\u092a \u092e\u0947\u0902 \u0935\u0930\u094d\u0917\u0940\u0915\u0943\u0924 (classify) \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u093f\u0924 (train) \u0915\u0930\u0947\u0902\u0964<\/p>\n

    \"\"<\/p>\n

    Coding Steps<\/h3>\n

    \u0928\u0940\u091a\u0947 \u0926\u093f\u090f \u0917\u090f \u0938\u094d\u091f\u0947\u092a\u094d\u0938 \u0915\u093e \u092a\u093e\u0932\u0928 \u0915\u0930\u0947\u0902:<\/p>\n

      \n
    1. PictoBlox \u0910\u092a<\/strong> \u092e\u0947\u0902 \u090f\u0915 \u0928\u0908 \u092b\u093e\u0907\u0932 \u092c\u0928\u093e\u090f\u0902\u0964<\/li>\n
    2. \u0910\u0921 \u090f\u0915\u094d\u0938\u091f\u0947\u0902\u0936\u0928 \u092c\u091f\u0928 \u092a\u0930 \u0915\u094d\u0932\u093f\u0915 \u0915\u0930\u0947\u0902 \u0914\u0930 Natural Language Processing<\/strong> \u090f\u0915\u094d\u0938\u091f\u0947\u0902\u0936\u0928 \u091c\u094b\u0921\u093c\u0947\u0902\u0964<\/li>\n
    3. My Blocks<\/strong><\/em> \u092a\u0948\u0932\u0947\u091f \u092e\u0947\u0902 \u091c\u093e\u090f\u0902 \u0914\u0930 Data for Lights On<\/strong> \u0914\u0930 Data for Lights Off<\/strong> \u0928\u093e\u092e\u0915 \u0926\u094b \u092c\u094d\u0932\u0949\u0915 \u092c\u0928\u093e\u090f\u0902\u0964\"\"<\/li>\n
    4. My Blocks \u092a\u0948\u0932\u0947\u091f<\/strong><\/em> \u092e\u0947\u0902 \u0906\u092a\u0915\u094b \u090f\u0915 \u0939\u0940 \u0928\u093e\u092e \u0915\u0947 \u0926\u094b \u0939\u0948\u091f \u092c\u094d\u0932\u0949\u0915 \u0914\u0930 \u092c\u094d\u0932\u0949\u0915 \u092e\u093f\u0932\u0947\u0902\u0917\u0947\u0964\"\"<\/li>\n
    5. \u090f\u0915 add ( ) as ( )<\/strong> \u092c\u094d\u0932\u0949\u0915 \u0939\u0948\u091f NLP<\/strong> \u090f\u0915\u094d\u0938\u091f\u0947\u0902\u0936\u0928 \u0915\u0947 Data for Lights On<\/strong> \u092c\u094d\u0932\u0949\u0915 \u0915\u0947 \u0928\u0940\u091a\u0947 \u0932\u0917\u093e\u090f\u0964<\/li>\n
    6. add ( ) as ( )<\/strong> \u092c\u094d\u0932\u0949\u0915 \u092e\u0947\u0902 \u091f\u0947\u0915\u094d\u0938\u094d\u091f \u0915\u0947 \u0938\u094d\u0925\u093e\u0928 \u092a\u0930, \u092a\u0939\u0932\u093e \u0915\u092e\u093e\u0902\u0921 ” Lights On<\/strong> ” \u0932\u093f\u0916\u0947\u0902\u0964 \u0915\u094d\u0932\u093e\u0938 \u0915\u0947 \u0938\u094d\u0925\u093e\u0928 \u092a\u0930 ” Lights On<\/strong> ” \u0932\u093f\u0916\u0947\u0902\u0964 Lights On \u0915\u094d\u0932\u093e\u0938 \u0915\u093e \u0928\u093e\u092e \u0939\u094b\u0917\u093e\u0964 \u0939\u092e \u0915\u094d\u0932\u093e\u0938\u093f\u092b\u093e\u092f\u0930 \u0915\u094b 9 \u0914\u0930 \u0915\u092e\u093e\u0902\u0921 \u0926\u0947\u0928\u0947 \u091c\u093e \u0930\u0939\u0947 \u0939\u0948\u0902<\/em><\/strong>.<\/li>\n
    7. \u0905\u0932\u0917-\u0905\u0932\u0917 \u0915\u092e\u093e\u0902\u0921 \u0915\u0947 \u0932\u093f\u090f \u091a\u0930\u0923 5 \u0914\u0930 6 \u0915\u094b 9 \u092c\u093e\u0930 \u0914\u0930 \u0926\u094b\u0939\u0930\u093e\u090f\u0902 \u091c\u0948\u0938\u093e \u0915\u093f \u0928\u0940\u091a\u0947 \u0926\u0940 \u0917\u0908 \u091b\u0935\u093f \u092e\u0947\u0902 \u0926\u093f\u0916\u093e\u092f\u093e \u0917\u092f\u093e \u0939\u0948\u0964\"\"<\/li>\n
    8. Data for Lights Off<\/strong> \u0915\u0947 \u0938\u092e\u093e\u0928 \u091a\u0930\u0923\u094b\u0902 \u0915\u093e \u092a\u093e\u0932\u0928 \u0915\u0930\u0947\u0902\u0964 \u0928\u0940\u091a\u0947 \u0926\u0940 \u0917\u0908 \u091b\u0935\u093f \u092e\u0947\u0902 \u0926\u093f\u0916\u093e\u090f \u0917\u090f \u0905\u0928\u0941\u0938\u093e\u0930 \u0915\u0947\u0935\u0932 \u0906\u0926\u0947\u0936 \u0914\u0930 \u0915\u0915\u094d\u0937\u093e \u0915\u093e \u0928\u093e\u092e \u0905\u0932\u0917 \u0939\u094b\u0917\u093e\u0964\"\"<\/li>\n
    9. \u0905\u092c, \u0939\u092e\u0947\u0902 \u0905\u092a\u0928\u0947 \u0915\u094d\u0932\u093e\u0938\u093f\u092b\u093e\u092f\u0930\u093f\u092f\u0930 \u0915\u094b \u091f\u094d\u0930\u0948\u0928 \u0915\u0930\u0928\u0947 \u0915\u0940 \u0906\u0935\u0936\u094d\u092f\u0915\u0924\u093e \u0939\u0948\u0964 \u0938\u094d\u0915\u094d\u0930\u093f\u092a\u094d\u091f \u092c\u0928\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0928\u0940\u091a\u0947 \u0926\u093f\u090f \u0917\u090f \u0938\u094d\u091f\u0947\u092a\u094d\u0938 \u0915\u093e \u092a\u093e\u0932\u0928 \u0915\u0930\u0947\u0902:\n
        \n
      1. \u092a\u0939\u0932\u0947 \u0915\u0940 \u0924\u0930\u0939 \u0939\u0940 \u0938\u094d\u091f\u0947\u092a\u094d\u0938 \u0915\u093e \u092a\u093e\u0932\u0928 \u0915\u0930\u0924\u0947 \u0939\u0941\u090f Train Data<\/strong> \u0928\u093e\u092e \u0915\u093e \u090f\u0915 \u092c\u094d\u0932\u0949\u0915 \u092c\u0928\u093e\u090f\u0902\u0964<\/li>\n
      2. Train Data<\/strong> \u0939\u0948\u091f \u092c\u094d\u0932\u0949\u0915 \u0932\u0947\u0902 \u0914\u0930 \u0907\u0938\u0915\u0947 \u0928\u0940\u091a\u0947 Natural Language Processing<\/strong> \u090f\u0915\u094d\u0938\u091f\u0947\u0902\u0936\u0928 \u0938\u0947 \u090f\u0915 reset text classifier<\/strong> \u092c\u094d\u0932\u0949\u0915 \u091c\u094b\u0921\u093c\u0947\u0902\u0964<\/li>\n
      3. Data for Lights On<\/strong> \u0914\u0930 Data for Lights Off<\/strong> \u092c\u094d\u0932\u0949\u0915\u094d\u0938 \u0915\u094b reset text classifier \u092c\u094d\u0932\u0949\u0915 \u0915\u0947 \u0928\u0940\u091a\u0947 \u091c\u094b\u0921\u093c\u0947\u0902\u0964<\/li>\n
      4. Natural Language Processing \u090f\u0915\u094d\u0938\u091f\u0947\u0902\u0936\u0928 \u0938\u0947 \u090f\u0915 train<\/strong> text classifier<\/strong> \u092c\u094d\u0932\u0949\u0915 \u091c\u094b\u0921\u093c\u0947\u0902\u0964\"\"<\/li>\n<\/ol>\n<\/li>\n
      5. \u0905\u092c, \u0926\u0947\u0916\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0939\u092e\u093e\u0930\u093e \u091f\u0947\u0915\u094d\u0938\u094d\u091f \u0915\u094d\u0932\u093e\u0938\u093f\u092b\u093e\u092f\u0930 \u0935\u093e\u0938\u094d\u0924\u0935 \u092e\u0947\u0902 \u0915\u093e\u092e \u0915\u0930\u0924\u093e \u0939\u0948 \u092f\u093e \u0928\u0939\u0940\u0902\u0964\n
          \n
        1. \u0938\u094d\u0915\u094d\u0930\u093f\u092a\u094d\u091f\u093f\u0902\u0917 \u090f\u0930\u093f\u092f\u093e \u092e\u0947\u0902 when flag clicked<\/strong> \u092c\u094d\u0932\u0949\u0915 \u091c\u094b\u0921\u093c\u0947\u0902\u0964<\/li>\n
        2. Train Data<\/strong> \u0938\u094d\u091f\u0948\u0915 \u092c\u094d\u0932\u0949\u0915 \u0915\u094b when flag clicked<\/strong> \u0915\u0947 \u0928\u0940\u091a\u0947 \u091c\u094b\u095c \u0926\u0947\u0902\u0964 \u0905\u092c, \u092f\u0939 \u091c\u093e\u0902\u091a\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u093f \u0915\u094d\u092f\u093e \u0915\u094d\u0932\u093e\u0938\u093f\u092b\u093e\u092f\u0930\u093f\u092f\u0930 \u0915\u093e\u092e \u0915\u0930 \u0930\u0939\u093e \u0939\u0948, \u0939\u092e \u092a\u094d\u0930\u0924\u094d\u092f\u0947\u0915 \u0915\u094d\u0932\u093e\u0938 \u0915\u0947 \u0932\u093f\u090f \u0926\u094b \u0928\u090f \u0915\u092e\u093e\u0902\u0921 \u092d\u0947\u091c\u0947\u0902\u0917\u0947 (\u090f\u0915 \u0932\u093e\u0907\u091f\u094d\u0938 \u0911\u0928 \u0915\u0947 \u0932\u093f\u090f \u0914\u0930 \u090f\u0915 \u0932\u093e\u0907\u091f\u094d\u0938 \u0911\u092b \u0915\u0947 \u0932\u093f\u090f) \u0914\u0930 \u0926\u0947\u0916\u0947\u0902 \u0915\u093f \u0915\u094d\u0932\u093e\u0938\u093f\u092b\u093e\u092f\u0930\u093f\u092f\u0930 \u0909\u0928\u0915\u093e \u0938\u0939\u0940 \u0935\u093f\u0936\u094d\u0932\u0947\u0937\u0923 \u0915\u0930\u0924\u093e \u0939\u0948 \u092f\u093e \u0928\u0939\u0940\u0902\u0964<\/em><\/strong><\/li>\n
        3. Looks \u092a\u0948\u0932\u0947\u091f<\/strong><\/em> \u0938\u0947 ( ) \u0915\u0947 \u0932\u093f\u090f ( ) \u0938\u0947\u0915\u0902\u0921<\/strong> \u092c\u094d\u0932\u0949\u0915 \u091c\u094b\u0921\u093c\u0947\u0902\u0964<\/li>\n
        4. say ( ) for ( ) seconds<\/strong> \u092c\u094d\u0932\u0949\u0915 \u0915\u0947 \u0905\u0902\u0926\u0930, get class of ( )<\/strong> \u091b\u094b\u0921\u093c \u0926\u0947\u0902 \u0914\u0930 \u0921\u093f\u092b\u093c\u0949\u0932\u094d\u091f \u0938\u092e\u092f 2 seconds<\/strong> \u0939\u0948\u0964<\/li>\n
        5. get class of ()<\/strong> \u0915\u0947 \u0905\u0902\u0926\u0930, ” I am playing<\/strong> ” \u0932\u093f\u0916\u0947\u0902\u0964<\/li>\n
        6. \u0909\u092a\u094d\u092a\u0930 \u0935\u093e\u0932\u0947 \u0938\u094d\u091f\u0947\u092a \u0915\u094b \u0926\u094b\u0939\u0930\u093e\u090f\u0902 \u0914\u0930 \u0907\u0938 \u092c\u093e\u0930, get class of ( )<\/strong> \u0905\u0902\u0926\u0930 ” I need to study<\/strong> ” \u0932\u093f\u0916\u0947\u0902\u0964\"\"<\/li>\n
        7. \u0907\u0938\u0947 \u091a\u0947\u0915 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0938\u094d\u0915\u094d\u0930\u093f\u092a\u094d\u091f \u091a\u0932\u093e\u090f\u0901\u0964 Tobi \u0915\u094b \u092a\u0939\u0932\u0947 “Lights Off” \u0914\u0930 \u092b\u093f\u0930 “Lights On” \u0915\u0939\u0928\u093e \u091a\u093e\u0939\u093f\u090f\u0964<\/li>\n<\/ol>\n<\/li>\n
        8. \u092b\u093c\u093e\u0907\u0932 \u0915\u094b NLP<\/strong> \u0915\u0947 \u0928\u093e\u092e \u0938\u0947 \u0938\u0947\u0935 \u0915\u0930\u0947\u0964<\/li>\n<\/ol>\n

          Activity: Output<\/h3>\n

          \"\"<\/p>\n

          \u0905\u0917\u0932\u0947 \u092a\u093e\u0920 \u092a\u0930 \u091c\u093e\u0928\u0947 \u0938\u0947 \u092a\u0939\u0932\u0947<\/em> \u0938\u0941\u0928\u093f\u0936\u094d\u091a\u093f\u0924 \u0915\u0930\u0947\u0902 \u0915\u093f \u0906\u092a\u0928\u0947 assignment<\/strong> \u092a\u0942\u0930\u093e \u0915\u0930 \u0932\u093f\u092f\u093e \u0939\u0948 \u0914\u0930 \u0938\u092c\u092e\u093f\u091f \u0915\u0930 \u0926\u093f\u092f\u093e \u0939\u0948, \u0938\u093e\u0925 \u0939\u0940 quiz<\/strong> \u092e\u0947\u0902 \u092d\u093e\u0917 \u0932\u0947\u0902\u0964<\/p>\n","protected":false},"excerpt":{"rendered":"

          \u0907\u0938 \u092a\u093e\u0920 \u092e\u0947\u0902 \u0906\u092a Natural Language Processing \u0914\u0930 \u0909\u0938\u0915\u0947 \u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902 \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902 \u091c\u093e\u0928\u0947\u0902\u0917\u0947\u0964 \u0906\u092a \u092f\u0939 \u092d\u0940 \u0938\u0940\u0916\u0947\u0902\u0917\u0947 \u0915\u093f PictoBlox \u0914\u0930 Natural Language Processing \u090f\u0915\u094d\u0938\u091f\u0947\u0902\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0915\u0947 \u090f\u0915 \u091f\u0947\u0915\u094d\u0938\u094d\u091f \u0915\u094d\u0932\u093e\u0938\u093f\u092b\u093e\u092f\u0930\u093f\u092f\u0930 (text classifier) \u0915\u0948\u0938\u0947 \u092c\u0928\u093e\u092f\u093e \u091c\u093e\u090f\u0964<\/p>\n","protected":false},"author":1,"featured_media":470,"menu_order":16,"template":"","meta":{"footnotes":""},"class_list":["post-828","lesson","type-lesson","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/stemlab.org.in\/hi\/wp-json\/wp\/v2\/lesson\/828","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stemlab.org.in\/hi\/wp-json\/wp\/v2\/lesson"}],"about":[{"href":"https:\/\/stemlab.org.in\/hi\/wp-json\/wp\/v2\/types\/lesson"}],"author":[{"embeddable":true,"href":"https:\/\/stemlab.org.in\/hi\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":7,"href":"https:\/\/stemlab.org.in\/hi\/wp-json\/wp\/v2\/lesson\/828\/revisions"}],"predecessor-version":[{"id":2202,"href":"https:\/\/stemlab.org.in\/hi\/wp-json\/wp\/v2\/lesson\/828\/revisions\/2202"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stemlab.org.in\/hi\/wp-json\/wp\/v2\/media\/470"}],"wp:attachment":[{"href":"https:\/\/stemlab.org.in\/hi\/wp-json\/wp\/v2\/media?parent=828"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}