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            "3927d5c25cb4486e8dfd6ce0c0b8df73",
            "ec624dfc09454d549b58daabf03cddb1",
            "7c5299436dd74dbb9058c4d41785e819",
            "d046d126f8b9422db3c8fee38126d10d",
            "2fbd4a6635874fc7b9d1858332866f7f",
            "157bc744ca7f412aa2472ade7f321e6d",
            "d029a2b985a740948ba50736fd9b6a89",
            "2b7197206cdf4bb7bc1872f0b5ed56f2",
            "5431c4350a70457787b5fe6bd01544c3",
            "e72f790ef3964f53bbed3a46af9b4e8d"
          ]
        },
        "outputId": "24478803-ad7f-49cc-e534-0731d180c15f"
      },
      "source": [
        "from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline\n",
        "\t\n",
        "model = AutoModelForSequenceClassification.from_pretrained(\"kuzgunlar/electra-turkish-sentiment-analysis\")\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"kuzgunlar/electra-turkish-sentiment-analysis\")\n",
        "sa = pipeline(\"sentiment-analysis\", tokenizer=tokenizer, model=model)"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "3c01c71ac01d490c991b037792e12179",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=789.0, style=ProgressStyle(description_…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "232f1fe4d49e451a92fc840fc27494c1",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=442559635.0, style=ProgressStyle(descri…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "3b9575e14e784c079b462604e7a2939c",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=251003.0, style=ProgressStyle(descripti…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "b8dd44b752ad419cab1f248c6e20c0d1",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=112.0, style=ProgressStyle(description_…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "7c5299436dd74dbb9058c4d41785e819",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, description='Downloading', max=126.0, style=ProgressStyle(description_…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2020-07-31T14:43:45.738347Z",
          "start_time": "2020-07-31T14:43:45.613924Z"
        },
        "id": "nxEpubjWl5oK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "3ef5d139-e412-4f2c-d109-2e6915779f09"
      },
      "source": [
        "print(sa(\"Burası muhteşem bir yer\"))"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[{'label': 'Positive', 'score': 0.9856987595558167}]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7r-2NOc2mAAE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "5141d03d-bc9a-4b4a-cd36-2ca06475e1bb"
      },
      "source": [
        "print(sa(\"Malesef günümüzde tüm dünyada reklam işten daha önemli.\"))"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[{'label': 'Negative', 'score': 0.9818702936172485}]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XaSqscAMmG_y",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "6f71716a-7450-46fd-c7e4-4f002deeac59"
      },
      "source": [
        "print(sa(\"Biz umudumuzu hiç kaybetmedik.\"))"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[{'label': 'Positive', 'score': 0.9968613386154175}]\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}