Historically, search engines had been reliant on variants ofwords, but these days the Internet is about far more complex, semantic relationships, and Google is major the charge. Writing topic modeling algorithms observed in enterprise software or in Google Hummingbird calls for intelligence linked with a rocket scientist. Employing approaches and computer software to basically do topic modeling does not demand a PhD! It does, having said that, help if you have a lot of expertise in content material arranging and Search engine optimisation.<img class="alignleft" style="float:left;margin-right:10px;" 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?/yxqpVbZsjJkW5dmUAC/wB8E6ArINwi3kghWfm329MV0rymGhS6VUmQ+VpIox4UblrMf8VgP6nBGmSRRH80kccb/hDMFIB5NuLji3PrjXDTRzNGUiESqWIjA8zG/HJ9PrfBCAwbgJ6aR0J3OoX09yPUe1u+KyR/RNMCmR0kgjSAxIzsVIsdx59LgW7ewGC1FRrHNEf7O3xxechvwqAO9r9ycaaWgYSrVLKVhiTcFjY27HvwO3+mCdOZquayvIHJCuxUs8rEDaqg2tYWJ9MVksnS02xqm0EIZ2aSnWIkBmuDYjmyi3APPvwMEFilZiFF41VQqAnyr7dh+XfGMdNFRxiOFZXDNulmYWJY+vqe3bBFKWenh3wwhd8uyJWkup7C+4m/1OKmWQXYTTW9CoCUcMr?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?/bYALEgfzv3v9cCpYJFKQVlHGryAVEe4B9xU2YX/AJH8sWWk1T4TzROI8jSXkjD8OCos9J8/ync+jNZSxLKp8OGpB2yLYHgruX1HcD8sCavO+pmSIsOfaeasSBgwng83APN9lxY/YYu4wvV0UkkEElMiMSyql9hB83HPpfAeqy?+PwqmljNpYZg8UzkqVuQf4rGxONDDxVzjU7Q7zGfUJN2nAy00qyo+pWnM2McWYrLTSoGTbUBipB9Nym4sfp74g5tnGh64U0u+nlib8alDde9xe3Iv/AFGLBkyqmOaR5lW0UEFZDIVLlVDryedwHNwfXCdmWh?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?/wDxk2HtgbLkU6//ABEgetsfaFf2f/w9ceLlmbSW960j+gxhJ+z4+HKRdv8AY2aj6ivb/THnu9b/AEj1Xhhi/qXxWlyScXPhtx24wPmymVPxIeOb4+09Z+zi+HmpUiKLPID7rWA/1XCrnP7Lfo3Xqf7N1Zn1G3oWEcoH5WGJtOracs?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?/v64A8o7QpkXkVwo83AuOCcEKaNArJtW+7c7brkm/b7YHU3/AC0dnUbjf2JwRgsSpYmwuSo98JyIjVPiDSRLGGI8VxuP/TcdvsBgxRgR+GwQoSp2g+gGBNGjvErksGdlNgebX7D+X2wapRH45EqO5KlAAfTm4J9B2xWznomIwiVJtZknJe?/4UW9+4/QHk4YKGOnlkDRk3CgWFvKPW4v3wLoVmeUXNtqBUVAPKALX57dzg9CsCUirGsasAVB5Jvfi/F8U2of0T0beqIZZTvUy?+IKUrBHJ/wAwc7mB4v6kd/64MUqTSSxxzLTOztuBQhvCW4uW3fY+npjRSK8MUEaElIorqlzuvx?/75waypQspWKDdJKp3CVQzMAfoO17/AJYpdRLuU9GzoiWXrPWSRtURQxwI67OSoVfS/ryOTYYNQU4qZtjTCmp4f+ImZVXcw4CgDvjRRx1DRESEMWbdIX/hAB449PT8hgtlMa1bPKJ0tGUsAGu9gTwDYEcgXP5Yz88tW4dE/G3oplNFLXtFvp9hmYcSWJVAL3ta1wB2+2DhF5HemHhJGthsN2HtYdr255OMIKaTNJYBPAQhDGQr5mANuARxb/TBSjgO5YYv+KdSbFrxqpJP4jc9r+uKWaYWPDomeWlnl2VusEc2a+I3hlpgPCVjKT2UMBfgewHJvglTBadY6UlS8v7yR0X8R+vPNgQBjCky?+sraeWtaWYpLIfDHABsTaxFgAbDnvbBWip4GkmkkMgqwyIZJGGwmw8qD0/1+2EJJM5yupZ5YKdqxZYkikMXlEyX8rgg7TY249/cjF66Y6/aihpUhzKlocwVAAsikpIwHBJtcH8hinoiUD+GJJ5Y0A8NT2XkgAe5+pxOgE9MYj8u0cr2JRV4jPcnd/X7YPoOM6zhby/RyFt?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?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?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?/dRzs4XYygFlk3m20i9zyMFOrGjdZyat0h1I0JleXZ3X6WSvppsmrav5b5qmq1iDvDKVYJMhhW24WYM6kre+Kj6pZtprNenWoc?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?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?+wuf0wIzOihCmaaMu1G6xMb2urMQyj63sfyxoINTlJvZhKFZQkRmsjG14igfb6rf/AE4wA1RG9LrirkjHE1LDL+RCgm364c8xoJ6Som8JmmgSJX57ncbgD/fpgDrOlWbVuUVCKFStydWsBb8JY9voB/LFxpZrkF7Uf0KWe2gkiNdmd1EYtyoYffjGVTEoYi3bk/W+JPy8aap8F2sGhYK3pfkDv/vnGEq7VtKORwft/ri5a/I8kCuqFVKKrM3tYH63xF7XB+2JlSLjceQp5/U2xFlA3XB4Jvg4UVgwJUY83KOGU3xkbg2PoMfgt?+wv+WOXiOxrv8wHI5I9ucS6ZDtk9u4/TnGiIFwB2O7aPp9f9++JtPtVr2FtpVQfUm?+FXnomGqTTRGVjGG9CAfU27/pgpTQrIVisbBLkg8tbviLRw8LSqSpVSxb1Y+o/lgpRxDxi8IJZi0SD1BPe35Yrpn7plgU2Cl8aKmiVRvniLkE8Duf6Www5XGRBGyqFZGSIW7swB5H9f0xBy+FYpYquQgReE8a8c7R5Q38u+DuU0vh5tTknuN+49goBJ49yDik1MtghNxtypmW07zS0+Xw3DiQSSv7Ddfk+nth1yiiU5hFNFYIKkoRbnbbgn2Hfv98BsoohBM6lQsbpZ2PLArdlP+X5YaspgmGVvMu9SZxIxtdgp9/rtAsP9nO63UHp92rOCOkUyugE2VNCgEVPFOIg55NuC7/kcOMFK8b1ZiS7Ue0IDxxY8H8wePbA6jp44KlYSpEU8l0f0Xiw5+oGGBxHk2VUlXU5NmWa5lm1Y1LkeR5ZEHq8wqdt2ALEIiJGm93chEXnkkA5aV0mpkEcYsnYfn?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?+Ka6wdcV0Hq7KOmWjun2b671zndBJmEOTZdLFAtPRK5Q1E80h2xoXBAuOdpuRcXnppeIa3Uj3ABfR3Dao/iJsUPFxz4ryT3cTbdt80cgyrMosvhgz2rhrqpdolqIKcwK7jm6pubb2/wAR++F/OaRRJsqhGW3iMNfYSQQTY/Q3FvW4wG6ddaM71J1Fk6RdR+lOcaB1hJlb5vl1FVV0NdT5hTI21zDNEbblsfLzwrcgixVs5685zrjPs30/0P6L551EpdNVpo80zqHMabL8uNUvLwwyT/8AOKm3Itci4BUglf8A7f4j79zCwCgHE8zQyjsea+Wj0orw6uHlu0czbJN075jRhknijZpFvZJeB3A7XIBvb398JucxJUySStT7JCEinRDZhE4CyFfqCyE2+hwX0z1q0NqbppmnVPOzWaUy?/TtVV5ZqGmzJd8tDVwlFenIj?/wCazb1CBQCSSLC18IWf9UNUZXlidVs8+HHXmVaFBjqnzhqykapipXICzyUN96xkWPLAWI83bD+j4LxMyOjdHRaeXJAs70LI5j5X+SG/UwgXe6H5hkjGuzaJLBKV1GxuQxVFKsLehBH5i/vhTrKZauMPXUbwVMVKI6iItyASHQqfe/Y+t8Wbn9NRHKxnOna?+LNKWvMVfBUwA7ZqeaxR7EA2KFbC1wQQRcEYUc6ooa7L5Wgcs8m2aKQfxBANgv7dyfyxY6WdzDT8ZryIwVB4ByFXOZ0stERDJGXi+SNQzn+L3B+v9cAqulhSsOX1RBhqIVeTf33MDsP6c39MPecRmj?+Z8aL5iOmSNX2cjax54PqO9vdRhXzCi8anUTSXangKRNbkMASPyGNRpJ+YWUk9tJKlp5DFLSVRZJopPEYn/AKQdoH3PP5HAHqKn?/H6PrggQyiphJ44vawNvqThzzGJzXhKobZ5ImaTaOFIJ4/UnCx1BWpzHTul81oac1MlHmLiQRIWUAWuSBzbjvjRaOS5mHvf1BScgwVXOdJ4WooNwN5EdV9wbXX+dsZV0YNQRuAdvxgjggr?/LnjGGeV0FRqCgq4Z1aJqgXcAEC5sbfbG6rRJmjkjUhpDeRR6cD1+98aZhIDb7JMoBWLsAS1i5JYexv2/riHIpsPvglVpwCfMWN/pYYgSdwDY28ww402EIrUwIN+/vjNALEXPB9MeNfy?+t/THoY3JBtc3x6uTFACwZ7WNyh9jibRxeK42gEq1tvrci98Q4fLTvYXIYtb8hgpQxiGSOpK3Lrdh/h72P/jCErqBTTOimREopLNvMhG33vybfqcG4IvkqhHY3MTXFhe7Ef+v0wKo1jMh8cXhTtx?+JybgfrbDBT0xlrYJZhdAvjsR97Wv7k/54qdQ+t03GEWoU+WlipplvJ4ToABcJtlBv99tzhhoKK70sI86SQyTJtNzexIN/Yc/ngGJnEgnHLlxtHuTc8e3p+V8NOUwfJy0vhHduSOKnBPALH95u/Rv0xQat5AvqnYhmkfy5EkkaUC6bB25G8AbwfsT/ADw36epylVFRSKbSxgw?+3iizH+QFvthfyuCONPCpvLBTlo+e/wCHdz9T7+uGrKKeQ5XJWxlt8M8m3eTuW20jv9QbH2++MrrpPhIVvpmpiooNkcSFGf8ADEiAepcEn72vb2xaOmKrN6CizulymikzaeKllNDlkE1PTT1shEYMMU83liLqq7ubHZYgmwwlZZGiZjRPtCRTAVpB5JW1rX9LeXt2v98OtBlYM706Vz0hkp5fBnjQSGBnjISYAEbtjMrWuL2tjKSTtbKzn2671RObrPnSsJYueJwG9Y8+nzVA9Dtf9Ws5ynrN140/0NhzHLNU6irc+irZ9V0tKKFsvikkESxbWkqPCEt9ygKxWwPfDx8EfS7VNf0x0TrTUupfn4oabMK7TmVUlP4cNFNWTSx1FZUOSWmqCgeNbbVRCeSTfFldHem2U9KOm2RdK4cwOdUFPST0dXM1P8utXLUNKak7bsVDLJ4YuSfID62wF6ZfDjnmjaOh0DXda80zXpxlNaa?/K9NLlEdJVPtqPHjp6utVyzwLKd21QA5/wjjGp1nH9DrWaqGGRsVuaA6nEvja0txd06qH8uDkrPt0M0JY5zS7G3Y31S1nnxo0+mc+otRz9Lpj0sl1TNpGTVb5iRUGqi2mWdYAm1YQCSFZtzBWsQQQC+d/G7ozJOn/AFS6h5fleVZlT6I1DDpzTnyuZGSPP2mUFZN4HlAVJZCU42rbvySOU/CE9HmkumK7qhPXdKZNTf3rOipsnjZ5K4tvWCWqL+an3gMRtG4CxA5bETVX7P7Ruqtaa+1FNrD5TJtUUssuT5DTZYsdLk?+ZywCE1RVXCyBQH2KFW2883UEljHsoXNaRVAGxzZAcMG88xFh1YrbKG46/qSrg0r1ji1d1sqOlWnNORSZdk2l6TOc8zU1JJo62q2mnokULZj4ZLMSb29BY3on4yG6/al6+dKemnTTK9M0xkfM8707V1dZJvlq4KICaWdSu2NoQ7NDbcC1iQex6I+H/AKIUPRTSM+SS52+f6izirOZ5/nksPhSV1UV2qAtzsjRQFRL8C543HGnrr0LzrqxV6Q1loTXTaN1voWsqanJs1NEKuIxzosdRBLEWG5HVV5ubWPBvwpw/U6HR8T59OB7sNLQ4gkFxaRzEb0XeH4elr2WOZ8Hxkk3t4Klsq629XujORDodo7oTpnNs96b6YbUOpo6PUEiUVLQEmRVSSSMPNVzKXlY2tuYmzY6n6Ua/yfqp00071OyqJ6Sg1Bl0eYLHOwLQBh5lY9jtKsL/AExzfmfwSdYswz?/OtV0vxTVked69yr+xNbVD6bh8Oro7BEWkjWQeBsiHhi5J5LXF9uOpdBdPtO9PtCZN040/TsclybL48rgSY3ZolTaSxFrlrkk?+5OH9dHopmNfBRkJskB3b4r5v7vw103ygwmVpIOy5p0J8b2c616jaZpabpjSxdP8AWNRmcGUZsM2D5m0NEjtJXy0gX93Tkxso3EHi9zwCp6f/AGkWd6rTQcWnOjZqpdW6mgyarnNa3y2Xx1FSyU8O/b+8qmiQysoAVQVvfdwZ0d+zz1d0/qs80poDrvHp7ROetMlT8npmn/t5qSS96P8AtEsW8MXtut2v5QTfE7Lf2fOoNLdI+m+h9A9WaXJ9S6B1NPqZs6fJRNDV1Eo27jAZPxIixhbsfw?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?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?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?/8A/qquf5k4KZjOZJKVjy0dMpZvqQOPy5xr6JDVXncoNUurs6hwPDOxf+3km/8ATAtgWsADz2viXXgeI6qNoJ/Ud/8APEFtwIYE/wC//WG2ighrIEXPtewx+KsWJAsL8Y1q7WIt3N8ZeJfm18SXJrgjC+Iw5V4wqk++CVNfwgxtdSYr272A/wBcDqX92UR1/dMCD/W/5YIJG0cUiMT5iDb6+4++K2VNsReiQCBpJFLRNIxHryNtj9Oxwdy0VIqmRSp8GE3VuA/Le33OBNNGXo1iQjcvmka/r7H+f64YKCD52imlB2oJPCR1/EVZfKfyI+2KTUvoG07GEXg8MSB1G1VAZWIvsKgkG31tbDXlCiJcrarQ75B4E63vsY2Ck8fax97YX6WBa6hgSQBZUtDKVNuQfKfpdbfphupoZq?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?+UWO4+IDHX5rn65jh8NqxOgXxT686w9cTp+bSmU0mg8+yTMs401URySNmBp6OuWjE9RfyKszbyqgcADk9z1bAoD2YW9QcfN7pTUda/hB6K5V1o1DU9P9TU2rsmyLJdN0qJUxV0ZniVqKmkmYpDDAgaWWWyku5YluxFn6c+NvqflvT/UVbqfS+ldT6qbVlNo?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?+g3xn6H0nqyarnlzHR2tMtiH/8AbgRv3skTAeHIFuCVVbFhYMOcRenPx1dTOpPVLTs+Uaf0dU6A1HW5mqUFLPNNn9BltIr?/AP8AJVYU+FDEzJZVYAnsO4JHqWSzkyFowLsbEfEbFnBwcYyDYB39jeI8FdrVCclPbaQffnEaZFDglfTHzwpf2mXVWv05o7WA6cZEmR5nqT+zs9zIiQxwRvIzJR06+LukqEplEjvyu6RBsBNjZOkvjg13R6T6za66x9OqDJaXp?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?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?+oP9cMeUQiq8DMKeo3WRhNGTZlRxtDd?/54oNU8WXFWETeiP5WFFJTWCyklGnkXgg3JsRcW4w1Zd+4mbMIzdqVCzW43I/t9wGt9sA8jMcr09HPLGXemeQttC+IFuAD9bWw2ZHl1LUIaMoWiNOs5K8MIjYIPewJ4HcXOMrrpQ2+b7Csom3smvIVjhqq3L80jDxU9OZxOLeZSthcffgj69sOFDQ1cU8SwhJ2kpJKqmQt?+NxtLRA+jAA8G9iDhayKnlzHKCKtt1bBUBardwzKrg7uB/ELX/wDxvh70+ySVC/u0SWYSVSowI2sFKsw9ibgket/pjGa6blLj237bb/NXmnbhNOVKapGr6a9PViNDG57OhYssgt3IIK/bg4ccmIqKCKXwxHLudXVSSL7vryPa30wrZdFEaeRFsmyFndVJNjYbgCB7t98NeUeMBBNzIZIoPmEPb8JBKn0Ive3r29cZiV3NhNORqjpi0arVB7IWUupFynlZT2/xC32xA6h9OKPqGaQnOq?/IdR5RTVJ05nNO3ipl9TKqA1Ip28jzKiFVY2ZVkfaQeQUyeLxaZaBX3IZnQbjygUABLHm3b8jhgXxJXicWDLIpsPX0I5+/8sNaHVS6OUTQmnD7Pqq/UxNmHJJsuadJ/s8um66YzjTXUXqFq3VsubtUVx3SpR0tHmE3D10MChgZxYAFyy2J8vm4Yaf4Hos7z/R2oupnXXWetptEZpBW5dBmUMK0xgj5EJjUkhmZYy0pJJCWtzcdEJuDX2+dhZreh97e2CVPMDKL8WHhutz3sCCMahvtPxOVxL5d/AYsUaxixvVWqt2hgGwVWddPhi0H11oqfM0kXS2r6DMabM6HVOWUMJr0lh/AJGYAypb0LCxVTfixSsr?+AXQn94c0n1R1J1lqPT+pDHX5/kldUqsWb5sisPnaiRLM3mcusQAVWA7gbcdK0qmEMl1ZCbqR974mRuA4Z0NgL27397Yc0XFtbFEIWyEAfTyO/iKOOiBJpoi66XJ9T+zryvUekF6a65+IPqBnulcrjK6ayuR4Y4coZeInbg?/MFFJRQ21QrMABxZP61fCpT6A0ZkWfat?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?+nmJ4wH3jxGGuceQ3i+l9vPx88UpgNc8gBc6D9m302zKTVeVar6gaozfSue5jXZvlenvEWClyivqls9Um2/jSqOELjaoJupPOIWY/s5m1dT6ap+qPxFa11lHpTMaWfLKeviiFNFSRHzQGME7ncBFMpJIC9uTjsncG/CSCo5NsK/VHX2VdMeneo?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?+ADp5kvT7pr0/l1PmFXR9O9Ttqcu1NGDmszNcxyreyr5YxcXO1CPXgPr79npkWt841xNVdatY0GU6yzqTVEeT0qQinpM1Yg/MMTzOBYhUO2wPe4Bx140qqdoVrAKAvriI43eJLIbkqbi/pzxhCTiOoidztkN57d+Y9O+f2RRp2HouQc?/8A2fOXZ++dPmHX7X81Rq3K0o9VzMYi2d1MW8008v8Agji3ACFeCqKN17kmtQfBRp6qp+mVNpbqlqfSr9P8jn0+s+UJGk9dSTD9+d5v4DuS92Ab8fuAcdNyvcKC/mkX09B/l3xDKlFUqDdVtybfripn41rgRyybeA6iu39OM7DyCK3SRHcLltPga0vp7Ms1pumvVnW2itEajSNc40rlMyGKrKxiM7KiS7xb1FmNmY3PPYBdo/gGyTJMhyiGi69dQI840bO8uka9DCEyKF2ZpIkpx5ZDIW87FgW2qLAXB62qHVogVY+GLvu9Xt7ew+vtgZXtvihg3/8ANG9yLXIWxsPztirk9puKRggS/RpvFZxZxjO4wcI40UJ6KvdAdOR090/LBWawzvVWbVlS+YZjm+curT1c7Isaqqr5Io1EaBUW9gvc3wSldpBSzt54fDMj82LlrAH2AsTx9R7YYJRHNVNGqDbA5VSb2DEeZueDY+39b4WJjVVapl9KIiFkE265tEgsEX3JK7j7DjvjK6yeTVSmaU247/t/hNxsbG3lbsl45XI8EsVX4cdPGrSOi8mwI2Lf1sRfn6e2K+rZzWSuVjZt0ZjqbPtS25htQDub3u3/AEgC9jiw82rYqB5KkybmzjzRRuxJB2ADg+nAPHa+EuLKZKYRUygNaYNNKONsIU9hc7Re3PawOPIHBl2ucOyrzV0PyWbDKqUAVFbVrOiIousKxX5+5YA/b3wlazpYTX5hkwlkZTFCropJYq5QtJ/3eV+TwA/Hriwc+qj/AHqq83oomkWKSKhkC2uXvdV3XuVs7A88+3GEjNqCWmbUOYs8bmaIRKh3SE3LIAbW3HytZRe529741fD3kFp60PUkfkk5BaSs?/jaPNpMrjgV4amAyCKM+UBDG4S59yoF+/LYSnuupaGFpFk?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?/uMDIBCrRXh2gOojZeOWvu/8/fE2lqVSobxFYEGzHabFSOD9ha364sInd0q4IvBUKyRuRtEliV9v93xLgIUlCLgXs35/+cDbBpAok7XYC9wR2I+2JNPMroAjqJV49eQD7fli200tGku5tjCJQFgzQMCVIuFYXBBHOOPvjwyPSnRn4KMx6b9OcjiyWiz3OaTKqKhgkdkMtRVGpl27mJ82yQ2vYXsLDjHXccyELZWLBuLA2B9R/v0xXvXPoNpvr7lumMt1RmVfR02ltRUuo4o6QpaolhVwIpAwPkIdrkc403C9VHBOx8hPK0hxHlkY+9ykNRGXNwMqm?/iF676l+HiDQXQTpjnGk8hzKLTDV1VnWpnb5OjoaOMQokca8yzSyIUVQCSfTm4XI/ix+KPX9BpHp3050bkeU9R30VJrTUf9qUkpQRBmWnpqenvuEswVWsx8viqOOcXf18+GDSfXzONO6zl1VneldVaWEi5bneSyoJkiflo2DAhhe5HqLt74QJPgC0xTZtT6003116o5XrtRJFmWqUzoy12ZQvt/dybxtCjb5Qtu/NyBa802q0Qgbz/jzZIJzmro5FdMmwMb2o6OW6Gy5W696n19qX4mNU5nmmS5fLqDK9CZLUZppmok/wCGd4aUZjUrO4PNJBJEWdQf3jCFOznF513xv9XtMaa?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?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?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?+dqyiKdqGkpa?+neIeLtqqNJI5LEqXYkFGHe/l4IPqMNeSVT1eW08GYRgy0kK2cgb0ceUxlr88G6nva4OEjLDV0uXVX9nmKnqMuzFUc+ZkdlDOrDkEXYJuHby8WucN2S11JqHJos3pcvSketEslQisQGt7XvyOQPpbGX17KHhfzBr9QrGJ3rScdOGsggqcqnhiq4WpIqqGeUIGkjI/CxW12sfUcjjvyXWndM9yxqrKb+PHAs4hqV7G9miN+bbeN3t+eEnRFYtdlFb41OiVdDfdLGAqtsduwtxdW5HbtbB7JMxk07ndcj00M0c9IK3i4LIEF1IPZvJ3xldbG50jwB8TT67X6p+OSgPFWHlNetYhr546hJ0qC8TvGokRQXGy9r9rgi1iCCL4Z9OzU9fNTZrTTKlRTRzQVEVgytYtxwbg2A/I/nhHauRK7KjTKRQZmyBo2A8RY5ISyEHsGXge3f6YZaVZMvqJ8zkmkLy7YKyxuZX4jEgtYA2UX49B+efmjoWME7flSPz3gptyWSZKuujy6cSgSBpYnlAAEg7iyFlYMpIvx5vyDPTTNI0bGZ/wAG0oALE8WJP5H6c4VlpZKPMIqsVO6SmEUfiiJVeRTwwa3BB3A2AFiOO+ClZWnL56eaQF4WnSGVB67nAVh9QQOL2sT3wlfNRahuNpkoPEgDCKQskk/irG7X282a3N/xf1wUVt/NvwEMLcEH/PC5VyjKWFaIIJKaJ9rxmPzje/LI1+L35HY2HbBd5hBVxgoGjmHhFv4gTa35c4bjdhBOUWSpTb4yAsdobaQA3PPY4mwuXuY4H4Ycgc825t9MCFhEMQhe7DZs3djbHAXxe571p+HDVtNnGlesGoZcl1TO7UtNJXO0tI67d6EkWZPMNp7+h7XOi4LoX8V1H8Oxwa6sX1+aWneImc52X0iWnnYsvgsxb3U2PtxjbHFVRuGdJyrHldl7foO2Pihl3xxfEnSV0iT9Vc+mRCwsZl9D9sbYfjp+KI1AWPq/naI0hAvsYgfmMfQY/YXVgAl49T/hVDuKQg1R9P3X2zEU4XimlF+xCEgHGyOmqZHDvSyB1upIQjj0x8Vo/j3+KN1hjj6sZujCFtzbYjucEkH8PHoMSX/aA/FQq+NH1VzJQkcflMcJueN38Hrh5nsXqBu8ev7IX/VIvH0/dfaRYa5rg08wA7XTjHgo6qKxipp+e6othfHxpP7QX4p1qnqE6pZh4KVKjwWghN0JuRfZj2L9oX8VKOk0vU+teN3lTZ8vACABxzs+v8sHHsbNWXfX9lEcUi6fl+6+zLUtZcM1PNYEGwW+MBTVsjgijlNhutt4/P8A8Y+NJ/aFfFXDEskvVGskM1Mzr/w0A2tuNj+DntjRL+0K+KyNXiPVKtLukTK4p4BtvyeNnPfEj7Hynd31/ZcOJxHv6fuvs8aatUNall59Ap/ljnz4hvhGruu2s8q1NT9Qs/0tDFk9RpzNqbL6WOT5/LJpFkliV3/5LOV2swBuLDtcH5yzfH58VPiPQjqvmIlWqEfi?+DD+Hta2z35xCX4/PiqqHWlPVnNVZBKWcLEN1hxxt47YnF7KaiB4fFJRHj/lpUHcRgkbRB9P3X2ayXTdPp3JqHT2SZQ9Ll2X08VJTwqh2xRRqFVR68AAY3PRV8x3GCZVUCylDz?+Xpj4sN8enxS1UVl6t5zG0UBJIMfnYHv8Ah44/piDUfHX8UVQjTL1fz2MAou1ZFt25N9vrbCz/AGLmeMvHr?/tUhxSIYAPp+6+2RpamF2c00tgNq2jJ/L7YiyQZgsZPysoJHPkJJ47DHxMqfje?+JuaQz?/8A6u6hAMpbw/mAFCj+HgXxBi?+Mj4jZKgPW9XNTSoL+Ra1l79u2FX+wmodgSAfP/aiDi0YF8p+n+V9t6iCuECqaWUsCGPltc/8AvA6a4qD48+1hYiPb2Avcn684+J9H8UPX3OM4jppurWqRFKxuozKQce3Bx3R8FXTzU2a5Weu+uNb5rnVTmMMsGVUk2YTOkMasyO8oY2ZyVIA5CjnknjLe0Hsq7g+ndqJpRQ2FE2eg6V5p3S65uocGtauu5ZJJFeQDncQt7AgX7dvp/PvgdX/L2kmq5QySKsQidrKWBJAFuedwv+X1x6YmJp1rHEjAtUAKoC37D68XOIMsiyVMzEEfLFnRF4Ul/f639cfO5JMeKswtNTVVTTQMYoXk8RESFb7VDHzEMbA2Uc2GFyeslbMwvzlNK9PTFahkbeWffwo7WCgH0Fy30wR1DmbZZlFZXqheeIrHHckDeWsBccgX7kc2wqVtcmTjL6GRWkee6Fx23dyebn0HF/54A0lzT42vSvMz8BInrql3makX5cuGBF9wvcD13C3A7/TCfmleKiBpYKEVYqallA3eQIyvsF7W4YJf1O0gDBrNcvfNI54ahoxTSS/MpBGu1AsQSykW9XYsfc4VtQpPBLUqwQCiqWQFGI3SoCNxHqLFrffDmmYwEdShvJpANVuaOXLsvZwlURN4scTkiNuLGw78IwHB74S88aSnp6PKqWVII5rTvFGxUvF5gAxHP4xe1/e+DGpBJS51S1SzOJqmheZdjsFjO+wsNx7Lbnve5v6BUzuVpjV14UeFlFDHCEPLEEkBQfYlgSTc9/fGm0MX4eU+Pzs/qUpId0CSipTmCZTReJ4Hh/MTzSvuJdifEubelibD0PqcV/rOHL9aZfPlVVBKlHEkiU7cF9+/cCncg3Fr8Dn1w3Z5mU9DQV9JT3vYl33FTsjYll49G7fbCpmslPkUOXJAjuajxCqObopJcrfsTYDn642XDmuY4Sj8XT0slISmxypJ1ppbTVFl9ZRGn+czKGkZ3qZWDyqIoAxsbbQd7WNh2BxRkNfV0lUamml8OQAruUAcEWI/TFs64z+HKMmqqGNDLX5hEYZ5WhULs4BIIN7/AJYp4kFiw/pj6Hwhr/ckvN39/JVklc2Ey5tEKihhzeNEAZI0ktfzXXkm/sRgFK21mUdrYlPms0mVpRH8EaGMDiwG69/viE0m43Pc8nFnGC0UUClkhJIxt3C5ufXGhPU+2NigEX9/pia44K//2Q==" width="306px%" alt="semantic seo">And I can see right here that this result showed up, or earn the featured snippet since the terms how does semantic search impact Search engine optimisation appears in this article. It also looked at connected terms like what and effects. Other internet websites also linked to this short article that are talking about semantic Seo. The results are in English and the United States, so it knows exactly where I’m at locally.It will at least be the very same page on a web page that should really rank for all of these queries. You must be considering about how you can produce a Expertise Graph entity. However, the most important transform with Hummingbird was Google's capacity to understand conversational search better. Google announced its Hummingbird algorithm back in 2013 in a bid to return far better search benefits. In 2012, Google introduced the Information Graph to give a quick answer to the queries ideal on the SERPs.And then there are a further three.8k searches that come from queries. https://seohero.uk/seo-pricing/ We can find each of these by entering our major keyword into the tool. You can cover the whole subject and have your internet site displayed for several various extended-tail queries. We can see here that these close variations amount to a a lot larger search volume that your page could advantage from - 65.5k searches?a big distinction to the 27.1k from the single keyword.<ul> <li>Thanks to facts extraction, a Search Engine can recognize which questions can be answered from a document or which details can be understood.</li> <li>Look at these phrases as you plan the scope of your Seo content.</li> <li>Almost everything we’ve talked about goes beyond producing articles and net pages.</li> <li>By guaranteeing that your content material approach incorporates creating content material that covers different forms of intent, you can better answer the queries users are looking for.</li> <li>Semantic Order helps Search Engine to recognize all web entity.</li></ul>Google's know-how graph powers these know-how panels, and we can think of this as a collection of facts, info, people today, locations, corporations, and how they are connected. But semantic search works to drive a great deal extra than the answers to the concerns that we ask. Google has taken a search query and returned the outcome by understanding the intent and the context behind how these words are connected. I thought it was worth sharing some of the items I have observed from the patent workplace, also on the pages of Google about search becoming much more semantic.<div style="display: flex;justify-content: center;"> <blockquote class="twitter-tweet"> <p lang="en" dir="ltr">Google confirmed an anti-spam algorithm update on June 23, 2021Google's Danny Sullivan has confirmed that an anti-spam algorithm update is being implemented in search results.The release of the update ended on June 23, 2021. https://twitter.com/hashtag/antispam?src=hash&ref_src=twsrc%5Etfw https://t.co/oFKhsxCSjm https://t.co/EvrtORB8af </p>? SEOHERO (@SEOHERO11) https://twitter.com/SEOHERO11/status/1409484998248443905?ref_src=twsrc%5Etfw </blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script></div>It will have to also reference related items, and factors in parent and child categories. I could have spent tens of hours researching natural language processing and going deep into the technicalities of semantic search. I didn’t do that simply because most people today do not care about it. The readability of semantic search engine marketing writing is primarily based on the Flesh-Kincaid algorithm which helps you ascertain at what level a reader requirements to be to understand your content material. The Flesh-Kincaid algorithm requires into account numerous components such as the length of your sentences and paragraphs, the use of headers and the vocabulary level.This is an incredibly easy tool, so it is terrific if you just need to have that tiny bit of further aid or basically just cannot consider of any synonyms or connected terms for your keyword. It’s a cost-free tool, and all you will need to do is type your term into the box and get thousands of keyword concepts similar to your term, and they are all categorized alphabetically. One more option is to read by means of the top ten ranking pages to discover the relevant questions that each and every web page addresses. https://seohero.uk/seo-blog/ Variety your topic into Google, and it provides a list of connected searches. To produce my list, I employed the MarketMuse? Analysis app which took 42 seconds.


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Last-modified: 2021-11-17 (水) 07:51:16 (901d)