POS(Part_of_Speech)_tagging.ipynb

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  "metadata": {
    "colab": {
      "name": "POS(Part of Speech) tagging.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
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      "metadata": {
        "colab": {
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        },
        "id": "r6UZTnRfAO5Y",
        "outputId": "57c7e16d-715f-4e45-8dc5-135157fbdeb4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        }
      ],
      "source": [
        "!pip install --upgrade spacy\n",
        "!python -m spacy download en_core_web_sm"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "https://v2.spacy.io/api/annotation for complete list of POS tags"
      ],
      "metadata": {
        "id": "iCg_kQAdOJwN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import spacy\n",
        "nlp = spacy.load(\"en_core_web_sm\")"
      ],
      "metadata": {
        "id": "DnaPgRWMONmO"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"\"\"Dharma is a loner, who doesn't socialize with people, spends his time by working in a factory. Charlie, \n",
        "       a small Labrador dog makes a complete changeover in Dharma’s life. In the companionship of the little Charlie, \n",
        "       Dharma finds his purpose in life and develops himself into a better human.\"\"\"\n",
        "\n",
        "\n",
        "doc = nlp(text)\n",
        "for t in doc:\n",
        "  print(t.text,\"|\",t.pos_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sK58uLSlOdyR",
        "outputId": "9709653f-65c2-47e3-863e-d7bf8df55076"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dharma | PROPN\n",
            "is | AUX\n",
            "a | DET\n",
            "loner | NOUN\n",
            ", | PUNCT\n",
            "who | PRON\n",
            "does | AUX\n",
            "n't | PART\n",
            "socialize | VERB\n",
            "with | ADP\n",
            "people | NOUN\n",
            ", | PUNCT\n",
            "spends | VERB\n",
            "his | PRON\n",
            "time | NOUN\n",
            "by | ADP\n",
            "working | VERB\n",
            "in | ADP\n",
            "a | DET\n",
            "factory | NOUN\n",
            ". | PUNCT\n",
            "Charlie | PROPN\n",
            ", | PUNCT\n",
            "\n",
            "        | SPACE\n",
            "a | DET\n",
            "small | ADJ\n",
            "Labrador | PROPN\n",
            "dog | NOUN\n",
            "makes | VERB\n",
            "a | DET\n",
            "complete | ADJ\n",
            "changeover | NOUN\n",
            "in | ADP\n",
            "Dharma | PROPN\n",
            "’s | PART\n",
            "life | NOUN\n",
            ". | PUNCT\n",
            "In | ADP\n",
            "the | DET\n",
            "companionship | NOUN\n",
            "of | ADP\n",
            "the | DET\n",
            "little | ADJ\n",
            "Charlie | PROPN\n",
            ", | PUNCT\n",
            "\n",
            "        | SPACE\n",
            "Dharma | PROPN\n",
            "finds | VERB\n",
            "his | PRON\n",
            "purpose | NOUN\n",
            "in | ADP\n",
            "life | NOUN\n",
            "and | CCONJ\n",
            "develops | VERB\n",
            "himself | PRON\n",
            "into | ADP\n",
            "a | DET\n",
            "better | ADJ\n",
            "human | NOUN\n",
            ". | PUNCT\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "filtered_token = []\n",
        "for t in doc:\n",
        "  if t.pos_ not in ['PUNCT','SPACE','PART']: #filtering out the token which are punctuations,space and part\n",
        "    filtered_token.append(t.text) \n",
        "\n",
        "filtered_token"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MgTO4LqvPAj0",
        "outputId": "819ca9c0-56fa-409b-860d-6b29818b8f7a"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Dharma',\n",
              " 'is',\n",
              " 'a',\n",
              " 'loner',\n",
              " 'who',\n",
              " 'does',\n",
              " 'socialize',\n",
              " 'with',\n",
              " 'people',\n",
              " 'spends',\n",
              " 'his',\n",
              " 'time',\n",
              " 'by',\n",
              " 'working',\n",
              " 'in',\n",
              " 'a',\n",
              " 'factory',\n",
              " 'Charlie',\n",
              " 'a',\n",
              " 'small',\n",
              " 'Labrador',\n",
              " 'dog',\n",
              " 'makes',\n",
              " 'a',\n",
              " 'complete',\n",
              " 'changeover',\n",
              " 'in',\n",
              " 'Dharma',\n",
              " 'life',\n",
              " 'In',\n",
              " 'the',\n",
              " 'companionship',\n",
              " 'of',\n",
              " 'the',\n",
              " 'little',\n",
              " 'Charlie',\n",
              " 'Dharma',\n",
              " 'finds',\n",
              " 'his',\n",
              " 'purpose',\n",
              " 'in',\n",
              " 'life',\n",
              " 'and',\n",
              " 'develops',\n",
              " 'himself',\n",
              " 'into',\n",
              " 'a',\n",
              " 'better',\n",
              " 'human']"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "edited_text = \" \".join(filtered_token)"
      ],
      "metadata": {
        "id": "cTo04aZDPz9k"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "edited_text"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "id": "ykpayFVUQbeB",
        "outputId": "9da024e7-c5cb-4997-a779-2bd969d820b4"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Dharma is a loner who does socialize with people spends his time by working in a factory Charlie a small Labrador dog makes a complete changeover in Dharma life In the companionship of the little Charlie Dharma finds his purpose in life and develops himself into a better human'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "doc1 = nlp(edited_text)\n",
        "count = doc1.count_by(spacy.attrs.POS) #Counting number of each POS attributes"
      ],
      "metadata": {
        "id": "0JBLPe-AQd6M"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "count"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b0zZHFDAQyUV",
        "outputId": "4fa74e97-e273-4389-c7c8-e2cae2b067bd"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{84: 4, 85: 8, 87: 2, 89: 1, 90: 7, 92: 11, 95: 4, 96: 6, 100: 6}"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "doc1.vocab[84].text #each number has a specific POS tag"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "Dc459bBMQzJR",
        "outputId": "6e1ae828-978d-4921-f34c-192da65b4b60"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'ADJ'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i,j in count.items():\n",
        "  print(doc1.vocab[i].text, \"|\", j)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uxVS5QthQ6-D",
        "outputId": "fd4f33f1-ba94-407c-aa43-99c75e09bb22"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "PROPN | 6\n",
            "AUX | 2\n",
            "DET | 7\n",
            "NOUN | 11\n",
            "PRON | 4\n",
            "VERB | 6\n",
            "ADP | 8\n",
            "ADJ | 4\n",
            "CCONJ | 1\n"
          ]
        }
      ]
    }
  ]
}