Zero_Shot_Classification_Multi_Lingual.ipynb

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      "cell_type": "markdown",
      "source": [
        "# **UUnsupervised Multilingual Text Classification With Zero-Shot Approach Using Hugging Face Transformers 🤗**.  \n",
        "> https://zoumanakeita.medium.com/  "
      ],
      "metadata": {
        "id": "n_Hi3ryJdObG"
      }
    },
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      "cell_type": "markdown",
      "source": [
        "## Useful Libraries"
      ],
      "metadata": {
        "id": "9K3kU91_dwSi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Install transformers library\n",
        "!pip install transformers==3.1.0\n",
        "\n",
        "# Import the Transformers pipeline library\n",
        "from transformers import pipeline\n",
        "\n",
        "# Preprocessing and visualization libraries\n",
        "import plotly.express as px\n",
        "import pandas as pd \n",
        "import numpy as np\n",
        "import textwrap"
      ],
      "metadata": {
        "id": "u2thbXCqd_i0"
      },
      "execution_count": null,
      "outputs": []
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      "source": [
        "wrapper = textwrap.TextWrapper(width=80)"
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      "metadata": {
        "id": "8KWDVELKrwUN"
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      "execution_count": null,
      "outputs": []
    },
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          "height": 206
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        "outputId": "f5ac0c05-dc17-487a-b756-8ee2f3b34356"
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      "source": [
        "# Load the dataset\n",
        "data_url = \"https://raw.githubusercontent.com/keitazoumana/Zero-Shot-Text-Classification/main/bbc-text.csv\"\n",
        "news_data = pd.read_csv(data_url)\n",
        "news_data.head()"
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              "        category                                               text\n",
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              "1       business  worldcom boss  left books alone  former worldc...\n",
              "2          sport  tigers wary of farrell  gamble  leicester say ...\n",
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        "outputId": "27be0169-7b02-4c3a-f74c-9f74b4ee8409"
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      "source": [
        "zsmlc_classifier = pipeline(\"zero-shot-classification\", model='joeddav/xlm-roberta-large-xnli')"
      ],
      "execution_count": null,
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zrcljZ75UxKN"
      },
      "source": [
        "We are going to perform the analysis on a single text to see the format of the result"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Select the description of the first row.\n",
        "sequences = news_data.iloc[0][\"text\"]\n",
        "\n",
        "# Get all the candidate labels\n",
        "candidate_labels = list(news_data.category.unique())\n",
        "\n",
        "# Run the result\n",
        "result = zsmlc_classifier(sequences, candidate_labels, multi_class = True)\n",
        "\n",
        "#show the result\n",
        "result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EtNKyBc5vwjK",
        "outputId": "faf46a52-78b0-4e3c-9207-2018410e3a72"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'labels': ['tech', 'entertainment', 'business', 'sport', 'politics'],\n",
              " 'scores': [0.8140193223953247,\n",
              "  0.802348256111145,\n",
              "  0.791598916053772,\n",
              "  0.7419557571411133,\n",
              "  0.7163865566253662],\n",
              " 'sequence': 'tv future in the hands of viewers with home theatre systems  plasma high-definition tvs  and digital video recorders moving into the living room  the way people watch tv will be radically different in five years  time.  that is according to an expert panel which gathered at the annual consumer electronics show in las vegas to discuss how these new technologies will impact one of our favourite pastimes. with the us leading the trend  programmes and other content will be delivered to viewers via home networks  through cable  satellite  telecoms companies  and broadband service providers to front rooms and portable devices.  one of the most talked-about technologies of ces has been digital and personal video recorders (dvr and pvr). these set-top boxes  like the us s tivo and the uk s sky+ system  allow people to record  store  play  pause and forward wind tv programmes when they want.  essentially  the technology allows for much more personalised tv. they are also being built-in to high-definition tv sets  which are big business in japan and the us  but slower to take off in europe because of the lack of high-definition programming. not only can people forward wind through adverts  they can also forget about abiding by network and channel schedules  putting together their own a-la-carte entertainment. but some us networks and cable and satellite companies are worried about what it means for them in terms of advertising revenues as well as  brand identity  and viewer loyalty to channels. although the us leads in this technology at the moment  it is also a concern that is being raised in europe  particularly with the growing uptake of services like sky+.  what happens here today  we will see in nine months to a years  time in the uk   adam hume  the bbc broadcast s futurologist told the bbc news website. for the likes of the bbc  there are no issues of lost advertising revenue yet. it is a more pressing issue at the moment for commercial uk broadcasters  but brand loyalty is important for everyone.  we will be talking more about content brands rather than network brands   said tim hanlon  from brand communications firm starcom mediavest.  the reality is that with broadband connections  anybody can be the producer of content.  he added:  the challenge now is that it is hard to promote a programme with so much choice.   what this means  said stacey jolna  senior vice president of tv guide tv group  is that the way people find the content they want to watch has to be simplified for tv viewers. it means that networks  in us terms  or channels could take a leaf out of google s book and be the search engine of the future  instead of the scheduler to help people find what they want to watch. this kind of channel model might work for the younger ipod generation which is used to taking control of their gadgets and what they play on them. but it might not suit everyone  the panel recognised. older generations are more comfortable with familiar schedules and channel brands because they know what they are getting. they perhaps do not want so much of the choice put into their hands  mr hanlon suggested.  on the other end  you have the kids just out of diapers who are pushing buttons already - everything is possible and available to them   said mr hanlon.  ultimately  the consumer will tell the market they want.   of the 50 000 new gadgets and technologies being showcased at ces  many of them are about enhancing the tv-watching experience. high-definition tv sets are everywhere and many new models of lcd (liquid crystal display) tvs have been launched with dvr capability built into them  instead of being external boxes. one such example launched at the show is humax s 26-inch lcd tv with an 80-hour tivo dvr and dvd recorder. one of the us s biggest satellite tv companies  directtv  has even launched its own branded dvr at the show with 100-hours of recording capability  instant replay  and a search function. the set can pause and rewind tv for up to 90 hours. and microsoft chief bill gates announced in his pre-show keynote speech a partnership with tivo  called tivotogo  which means people can play recorded programmes on windows pcs and mobile devices. all these reflect the increasing trend of freeing up multimedia so that people can watch what they want  when they want.'}"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The output is a dictionary with three main keys: \n",
        "- labels: all the candidate labels used for prediction.  \n",
        "- scores: the probability scores corresponding to the labels.  \n",
        "- sequence: the sequence used for the predictions.   \n",
        "\n",
        "We can convert the final result into a DataFrame after removing the 'sequence' key from the dictionary.\n"
      ],
      "metadata": {
        "id": "O6JL5lgC1Tmw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Delete the sequence key\n",
        "del result[\"sequence\"]\n",
        "result_df = pd.DataFrame(result)\n",
        "result_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "XErw17mv1OOV",
        "outputId": "027d9fba-d1c9-48bb-8201-62ae6267ca7b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "                                                     [key], {});\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "          labels    scores\n",
              "0           tech  0.814019\n",
              "1  entertainment  0.802348\n",
              "2       business  0.791599\n",
              "3          sport  0.741956\n",
              "4       politics  0.716387"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the probability distributions\n",
        "fig = px.bar(result_df, x='labels', y='scores')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "IR8xe8Y9xDdy",
        "outputId": "60e99a63-681d-432a-e816-7e61578315cd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
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    },
    {
      "cell_type": "markdown",
      "source": [
        "### Run Prediction on All the Data Set"
      ],
      "metadata": {
        "id": "Q8PFsfx32jj_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def make_prediction(clf_result):\n",
        "\n",
        "  # Get the index of the maximum probability score\n",
        "  max_index = np.argmax(clf_result[\"scores\"])\n",
        "  predicted_label = clf_result[\"labels\"][max_index]\n",
        "\n",
        "  return predicted_label"
      ],
      "metadata": {
        "id": "3HF0Yz3dxDbF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#print(make_prediction(result))"
      ],
      "metadata": {
        "id": "oivOO4BRxDN3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def select_subset_data(data, label_column, each_target_size = 2):\n",
        "\n",
        "  all_targets = list(data[label_column].unique())\n",
        "  list_dataframes = []\n",
        "\n",
        "  for label in all_targets:\n",
        "    subset = data[data[label_column]==str(label)]\n",
        "    subset = subset.sample(each_target_size)\n",
        "\n",
        "    list_dataframes.append(subset)\n",
        "\n",
        "  return pd.concat(list_dataframes)"
      ],
      "metadata": {
        "id": "0e3v9OQuwVoI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def run_batch_prediction(original_data, label_column, desc_col, my_classifier = zsmlc_classifier):\n",
        "\n",
        "  # Make a copy of the data\n",
        "  data_copy = original_data.copy()\n",
        "\n",
        "  # The list that will contain the models predictions\n",
        "  final_list_labels = []\n",
        "\n",
        "  for index in range(len(original_data)):\n",
        "    # Run classification\n",
        "    sequences = original_data.iloc[index][desc_col]\n",
        "    candidate_labels = list(original_data[label_column].unique())\n",
        "    result = my_classifier(sequences, candidate_labels, multi_class = True)\n",
        "\n",
        "    # Make prediction\n",
        "    final_list_labels.append(make_prediction(result))\n",
        "  \n",
        "  # Create the new column for the predictions\n",
        "  data_copy[\"clf_predictions\"] = final_list_labels\n",
        "\n",
        "  return data_copy"
      ],
      "metadata": {
        "id": "LRBEBhPO3h_f"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Get the subset of dataframe\n",
        "subset_news_data = select_subset_data(news_data, \"category\")\n",
        "\n",
        "# Run the predictions on the new dataset\n",
        "pred_res_data = run_batch_prediction(subset_news_data, \"category\", \"text\")\n",
        "pred_res_data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "uVVuuT0T3h9O",
        "outputId": "5d77f6cc-0f91-4d76-ec9d-c7d48097ddc9"
      },
      "execution_count": null,
      "outputs": [
        {
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "           category  ... clf_predictions\n",
              "1240           tech  ...            tech\n",
              "221            tech  ...           sport\n",
              "2193       business  ...        business\n",
              "1758       business  ...        business\n",
              "227           sport  ...           sport\n",
              "471           sport  ...           sport\n",
              "633   entertainment  ...   entertainment\n",
              "1175  entertainment  ...   entertainment\n",
              "293        politics  ...        politics\n",
              "2121       politics  ...        politics\n",
              "\n",
              "[10 rows x 3 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Check Line 221"
      ],
      "metadata": {
        "id": "ABtfPSEvpIyu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def show_labels_prediction(data, row_of_interest):\n",
        "\n",
        "  # Select the description of the first row.\n",
        "  sequences = data.iloc[221][\"text\"]\n",
        "\n",
        "  # Get all the candidate labels\n",
        "  candidate_labels = list(data.category.unique())\n",
        "\n",
        "  # Run the result\n",
        "  result = zsmlc_classifier(sequences, candidate_labels, multi_class = True)\n",
        "\n",
        "  # Make the result \n",
        "  result['sequence'] = wrapper.fill(result['sequence'])\n",
        "\n",
        "  # Show the corresponding text\n",
        "  print(result[\"sequence\"])\n",
        "\n",
        "  # Delete the sequence key\n",
        "  del result[\"sequence\"]\n",
        "\n",
        "  result_df = pd.DataFrame(result)\n",
        "  result_df\n",
        "\n",
        "  # Plot the probability distributions\n",
        "  fig = px.bar(result_df, x='labels', y='scores')\n",
        "  fig.show()\n"
      ],
      "metadata": {
        "id": "jnmur_Dh3h63"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "show_labels_prediction(news_data, 221)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "g6_7FPpu3h4F",
        "outputId": "f9111286-3883-4ebe-cfa6-9d0b1672547f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "world tour for top video gamers two uk gamers are about to embark on a world\n",
            "tour as part of the most lucrative-ever global games tournament.  aaron foster\n",
            "and david treacy have won the right to take part in a tournament offering $1m in\n",
            "total prize money. the cash will be handed out over 10 separate competitions in\n",
            "a continent-hopping contest organised by the cyberathlete professional league.\n",
            "as part of their prize the pair will have their travel costs paid to ensure they\n",
            "can get to the different bouts.  the cpl world tour kicks off in mid-february\n",
            "and the first leg will be in istanbul. all ten bouts of the tournament will be\n",
            "played throughout 2005  each one in a different country. at each stop $50 000 in\n",
            "prize money will be up for grabs. the tournament champion for each leg of the\n",
            "cpl world tour will walk away with a $15 000 prize. the winner of the grand\n",
            "final will get a prize purse of $150 000 from a total pot of $500 000.  winners\n",
            "of each stage of the tour automatically get a place at the next stop. the world\n",
            "tour stops are open to any keen gamer that registers. online registration for\n",
            "the first stop opens this weekend. some pro-players are winning a spot at the\n",
            "tour destinations through qualifying events organised by cpl partners. winners\n",
            "at these qualifiers get seeded higher in the elimination parts of each\n",
            "tournament. mr foster and mr treacy get the chance to attend the world tour as\n",
            "members of the uk s four-kings gaming clan. towards the end of 2004 four-kings\n",
            "staged a series of online painkiller competitions to reveal the uk s top players\n",
            "of the pc game. the best eight players met face-to-face in a special elimination\n",
            "event in late december where mr foster and mr tracey proved their prowess at\n",
            "painkiller. as part of their prize the pair also get a contract with four-kings\n",
            "intel which is one of the uk s few pro-gaming teams.  there are a lot of people\n",
            "who take gaming very seriously and support their local or national team with the\n",
            "same passion as any other sport   said simon bysshe who filmed the event for\n",
            "four-kings and intel. more than 80 000 people have downloaded the movie of the\n",
            "tournament highlights.  professional gaming is here to stay and will only grow\n",
            "in popularity   he said.\n"
          ]
        },
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    {
      "cell_type": "markdown",
      "source": [
        "## French Data Analysis "
      ],
      "metadata": {
        "id": "jtk_NzHYz1Ki"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sequences = \"L’éducation inclusive, en donnant une chance à tous les enfants, quels que soient leurs besoins particuliers, permet de construire un monde sans barrières. Pas de mot. Mais des signes pour dessiner avec patriotisme les paroles de l’hymne national. Ici, la force des gestes dit tout aussi haut la fierté d’appartenir à la Côte d’Ivoire. Et pour ce pays, terre d’espérance, tous ses fils comptent. Tous, même ceux qui portent un handicap. Et ces enfants sourds savent qu’ils peuvent aussi compter sur leur pays. En effet, la Côte d’Ivoire a inscrit la protection des droits des personnes en situation de handicap au cœur de sa Constitution.\"\n",
        "\n",
        "# Get all the candidate labels\n",
        "candidate_labels = [\"négatif\", \"positif\", \"neutre\"]\n",
        "\n",
        "# Run the result\n",
        "result = zsmlc_classifier(sequences, candidate_labels, multi_class = True)\n",
        "\n",
        "# Delete the sequence key\n",
        "del result[\"sequence\"]\n",
        "result_df = pd.DataFrame(result)\n",
        "\n",
        "# Plot the probability distributions\n",
        "fig = px.bar(result_df, x='labels', y='scores')\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(wrapper.fill(sequences))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sDniIVHUrHUh",
        "outputId": "4a6c9ec0-0ad2-4dd5-accb-79d1af0a4fb8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "L’éducation inclusive, en donnant une chance à tous les enfants, quels que\n",
            "soient leurs besoins particuliers, permet de construire un monde sans barrières.\n",
            "Pas de mot. Mais des signes pour dessiner avec patriotisme les paroles de\n",
            "l’hymne national. Ici, la force des gestes dit tout aussi haut la fierté\n",
            "d’appartenir à la Côte d’Ivoire. Et pour ce pays, terre d’espérance, tous ses\n",
            "fils comptent. Tous, même ceux qui portent un handicap. Et ces enfants sourds\n",
            "savent qu’ils peuvent aussi compter sur leur pays. En effet, la Côte d’Ivoire a\n",
            "inscrit la protection des droits des personnes en situation de handicap au cœur\n",
            "de sa Constitution.\n"
          ]
        }
      ]
    }
  ]
}