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alperbayram/wordcloud.ipynb

Created May 28, 2021 13:53
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wordcloud.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "wordcloud.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyNJNRs5+8hCHrz10VwEYVls",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/alperbayram/78dc92c45388a6a96be072224df0c0f0/wordcloud.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "J21fzuszMBh_",
"outputId": "a985fdb1-4121-42db-93cb-cb662a322ed0"
},
"source": [
"!pip install wordcloud"
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": [
"Requirement already satisfied: wordcloud in /usr/local/lib/python3.7/dist-packages (1.5.0)\n",
"Requirement already satisfied: pillow in /usr/local/lib/python3.7/dist-packages (from wordcloud) (7.1.2)\n",
"Requirement already satisfied: numpy>=1.6.1 in /usr/local/lib/python3.7/dist-packages (from wordcloud) (1.19.5)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "KKvuEV7sMQgz",
"outputId": "f6e0962a-4e96-464f-fdfa-3785362718ec"
},
"source": [
"!pip install numpy\n",
"!pip install pandas\n",
"!pip install pillow\n",
"!pip install matplotlib"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (1.19.5)\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (1.1.5)\n",
"Requirement already satisfied: numpy>=1.15.4 in /usr/local/lib/python3.7/dist-packages (from pandas) (1.19.5)\n",
"Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas) (2018.9)\n",
"Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas) (2.8.1)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)\n",
"Requirement already satisfied: pillow in /usr/local/lib/python3.7/dist-packages (7.1.2)\n",
"Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (3.2.2)\n",
"Requirement already satisfied: numpy>=1.11 in /usr/local/lib/python3.7/dist-packages (from matplotlib) (1.19.5)\n",
"Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib) (2.8.1)\n",
"Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib) (2.4.7)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib) (1.3.1)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib) (0.10.0)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib) (1.15.0)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "BMZqqCoHMMdW"
},
"source": [
"import pandas as pd\n",
"from os import path\n",
"from PIL import Image\n",
"from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n",
"from google.colab import drive\n",
"import matplotlib.pyplot as plt"
],
"execution_count": 11,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "hQsez_epNyFw"
},
"source": [
"drive veri setini alıyoruz"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "SQcmUp-COGyA",
"outputId": "cf9085a8-5128-488b-ce72-53892cd6e595"
},
"source": [
"data_path = \"/resource/\"\n",
"\n",
"try:\n",
" drive.mount('/content/drive')\n",
" data_path = \"/content/drive/My Drive/resource/\"\n",
"\n",
"except:\n",
" print(\"You are not working in Colab at the moment :(\")"
],
"execution_count": 12,
"outputs": [
{
"output_type": "stream",
"text": [
"Mounted at /content/drive\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "9e2L3ZWnMdt6"
},
"source": [
"df = pd.read_csv(data_path + 'TrkceTwit.csv')"
],
"execution_count": 13,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "VqhajzL7PTP1",
"outputId": "79082a99-12ca-4cab-8621-80d4032b0b8b"
},
"source": [
"df.info()"
],
"execution_count": 15,
"outputs": [
{
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 4900 entries, 0 to 4899\n",
"Data columns (total 2 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 category 4900 non-null object\n",
" 1 text 4900 non-null object\n",
"dtypes: object(2)\n",
"memory usage: 76.7+ KB\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 359
},
"id": "Z-IUyYogPX4T",
"outputId": "c79fd0b7-3b0e-4f88-d921-d16e281591bb"
},
"source": [
"df.sample(10)"
],
"execution_count": 16,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>category</th>\n",
" <th>text</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>830</th>\n",
" <td>dunya</td>\n",
" <td>türk israil ilişkileri sınanıyor new_york tim...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3064</th>\n",
" <td>saglik</td>\n",
" <td>epilasyonda renk sıkıntı değil ama + 18 i unu...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2514</th>\n",
" <td>kultur</td>\n",
" <td>sertab_erener tim 23 11 2012 20 00 sertab_ere...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1377</th>\n",
" <td>dunya</td>\n",
" <td>israil in güneyine roket saldırısı israil ask...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1909</th>\n",
" <td>ekonomi</td>\n",
" <td>3 liradan tezgaha düştü balıkçı tezgahlarına ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2041</th>\n",
" <td>ekonomi</td>\n",
" <td>palamudun yediği hamsi bu yıl az olacak zongu...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4280</th>\n",
" <td>teknoloji</td>\n",
" <td>google dan macbook a rakip ! chromebook_pixel...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>919</th>\n",
" <td>dunya</td>\n",
" <td>israil den esad a sert yanıt israil hükümeti ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>958</th>\n",
" <td>dunya</td>\n",
" <td>140 araç birbirine girdi 2 ölü 80 yaralı abd ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017</th>\n",
" <td>ekonomi</td>\n",
" <td>konut satışları düştü türkiye de yılın üçüncü...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" category text\n",
"830 dunya türk israil ilişkileri sınanıyor new_york tim...\n",
"3064 saglik epilasyonda renk sıkıntı değil ama + 18 i unu...\n",
"2514 kultur sertab_erener tim 23 11 2012 20 00 sertab_ere...\n",
"1377 dunya israil in güneyine roket saldırısı israil ask...\n",
"1909 ekonomi 3 liradan tezgaha düştü balıkçı tezgahlarına ...\n",
"2041 ekonomi palamudun yediği hamsi bu yıl az olacak zongu...\n",
"4280 teknoloji google dan macbook a rakip ! chromebook_pixel...\n",
"919 dunya israil den esad a sert yanıt israil hükümeti ...\n",
"958 dunya 140 araç birbirine girdi 2 ölü 80 yaralı abd ...\n",
"2017 ekonomi konut satışları düştü türkiye de yılın üçüncü..."
]
},
"metadata": {
"tags": []
},
"execution_count": 16
}
]
}
]
}
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