diff --git a/Project/simple_approach/Evaluation_sentiment_dataset.ipynb b/Project/simple_approach/Evaluation_sentiment_dataset.ipynb new file mode 100644 index 0000000..8c3f7f2 --- /dev/null +++ b/Project/simple_approach/Evaluation_sentiment_dataset.ipynb @@ -0,0 +1,321 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[nltk_data] Downloading package punkt to /home/jonas/nltk_data...\n", + "[nltk_data] Package punkt is already up-to-date!\n", + "[nltk_data] Downloading package averaged_perceptron_tagger to\n", + "[nltk_data] /home/jonas/nltk_data...\n", + "[nltk_data] Package averaged_perceptron_tagger is already up-to-\n", + "[nltk_data] date!\n", + "[nltk_data] Downloading package wordnet to /home/jonas/nltk_data...\n", + "[nltk_data] Package wordnet is already up-to-date!\n" + ] + } + ], + "source": [ + "import numpy as np \n", + "import pandas as pd \n", + "import simple_twitter_learning as stl\n", + "import re" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* download data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dataset already downloaded\n" + ] + } + ], + "source": [ + "%%bash\n", + "\n", + "if [ ! -e 'dataset_sentiment.csv' ]\n", + "then\n", + " echo \"downloading dataset\"\n", + " wget https://raw.githubusercontent.com/SmartDataAnalytics/MA-INF-4222-NLP-Lab/master/2018_SoSe/exercises/dataset_sentiment.csv\n", + "else\n", + " echo \"dataset already downloaded\"\n", + "fi" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv('dataset_sentiment.csv')\n", + "df = df[['text','sentiment']]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
textsentiment
0nancyleegrahn how did everyone feel about th...Neutral
1scottwalker didnt catch the full gopdebate l...Positive
2tjmshow no mention of tamir rice and the gop...Neutral
3robgeorge that carly fiorina is trending ho...Positive
4danscavino gopdebate w realdonaldtrump deliv...Positive
\n", + "
" + ], + "text/plain": [ + " text sentiment\n", + "0 nancyleegrahn how did everyone feel about th... Neutral\n", + "1 scottwalker didnt catch the full gopdebate l... Positive\n", + "2 tjmshow no mention of tamir rice and the gop... Neutral\n", + "3 robgeorge that carly fiorina is trending ho... Positive\n", + "4 danscavino gopdebate w realdonaldtrump deliv... Positive" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['text'] = df['text'].apply(lambda x: x.lower())\n", + "df['text'] = df['text'].apply(lambda x: x.replace('rt',' '))\n", + "df['text'] = df['text'].apply((lambda x: re.sub('[^a-zA-Z0-9\\s]','',x)))\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "neg = np.array([df['sentiment'][i] == 'Negative' for i in range(df.shape[0])])\n", + "pos = np.array([df['sentiment'][i] == 'Positive' for i in range(df.shape[0])])\n", + "neu = np.array([df['sentiment'][i] == 'Neutral' for i in range(df.shape[0])])\n", + "\n", + "text = np.array(df['text'].tolist())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* load pipeline" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "pipeline_file = \"/home/jonas/Dokumente/NLP_DATA/python_dumps/pipelines/tfidf_final/final_epoch01.pipeline\"\n", + "pm = stl.pipeline_manager.load_from_pipeline_file(pipeline_file)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* plot statements" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "top_20 = list(\"😳😋😀😌😏😔😒😎😢😅😁😉🙌🙏😘😊😩😍😭😂\")\n", + "top_20_sents = stl.emoji2sent(top_20)\n", + "\n", + "pred_pos = pm.predict(text[pos])\n", + "pred_neg = pm.predict(text[neg])\n", + "pred_neu = pm.predict(text[neu])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEWCAYAAACaBstRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3Xt8FeWdx/HPj0AkSAgIWBHkokCRSgtKFS+lUKoCZWWLoiAoRFcUFpW626KlCqVSK9QV3EqFilcQRO0lqOgiAloVFQTBgCgE0IAIQbnfw2//mEl6CLlMSE4u5Pt+vc4rc565/WaSnN+Z55nnGXN3REREoqhW3gGIiEjloaQhIiKRKWmIiEhkShoiIhKZkoaIiESmpCEiIpEpaUilZmZzzWxQecdxsjAzN7OW5R2HVFxKGlJpmNkYM5seW+buPdz96XKI5Skzu7+s91tRmNlgM/tnecchZU9JQ6SSMrPq5R2DVD1KGhI3ZjbSzDaZ2W4zW2Nm3cysmpndbWbrzGy7mc02s9PC5ZuH1SODzOwLM8sys1HhvO7Ar4HrzGyPmX0cli80s/8Ipweb2Ttm9rCZ7TCzDDO7JCz/0sy2xlZlmdkpZvbHcF9fm9ljZpYUzutiZplm9l/hel+ZWWo4bwgwAPhVGMucAo7/QjNbYma7wu3/T8y8y8zs3TDOL81scFieYmbPmNk2M9toZr8xs2r5HN92YExYfpOZrTazb83sdTNrVsjv5KnwOOeFv5dFBS1fUCxmdi7wGHBxePw7ivxjkJOHu+ulV6m/gO8CXwJnhu+bA+cAdwKLgSbAKcAUYGbMMg78BUgCfgAcBM4N548BpufZz0LgP8LpwcARIBVIAO4HvgAeDfd1BbAbqB0u/zCQBpwGJANzgAfCeV3CbY0FagA9gX1AvXD+U8D9RZyD94AbwunaQKdwulkYR/9w2/WB9uG8Z4B/hPE0Bz4Dbs5zfLcD1cNz1BtYC5wblv0GeLeQmJ4K9905PCeTgH/GzHegZcRY/lnY8et1cr7KPQC9Ts4X0BLYCvwUqBFTvhroFvO+EXA4/MDLSRpNYuZ/APQLp6Mkjc9j5rULt/edmLLtQHvAgL3AOTHzLgbWh9NdgP1A9Zj5W2M++KMkjbeA3wIN8pTfA/wtn+UTgENA25iyW4GFMcf3RZ515uZ8kIfvqxEkt2YFxPQUMCvmfW0gGzgrfO/h7y5KLEoaVfCl6imJC3dfC4wg+KDfamazzOxMgm/ZfwurZXYQJJFs4Dsxq2+Jmd5H8MEW1dcx0/vDWPKW1QYaArWApTGxvBaW59ju7keixGJmA8Kqmj1mNjcsvhloDXxqZh+aWa+w/CxgXT6baUBw5bExpmwj0Djm/Zd51mkGTIo5hm8IEmJjM/t1TEyP5bcNd98TrnPmCcQiVZCShsSNuz/n7pcRfLA58CDBB1YPd68b86rp7puibLIUw8siSCDfi4kjxd2jJqhjYnH3Ge5eO3z1CMs+d/f+wOkEx/6imZ1KcA7OKSCmwwTnK0dTIPbc5D0HXwK35jmfSe7+rrv/Piam22LWOStnwsxqE1TPbS5mLBoeu4pS0pC4MLPvmtlPzOwU4ADBB/RRggbUcTmNr2bW0Mx6R9zs10DznIbhknD3owRtJw+b2elhLI3N7MpixHJ2YQuY2UAzaxjuK6ex+CgwA/ipmV1rZtXNrL6ZtXf3bGA2wflJDs/RXcD0/PcABOfzHjP7XrjPFDPrW0TsPcOG+ETgd8Bidz/mCiZCLF8DTcJtSBWipCHxcgrwB4JvrFsIvm3fQ9Dwmgb8n5ntJmgUvyjiNl8If243s49KIcaRBI3Ii81sF/AGQQN+FNOAtmG10N8LWKY7kG5mewiOu5+773f3Lwga1v+LoGpoOUGjPwSN3HuBDOCfwHPAEwUF4e5/I7iKmRUewydAjyJifw4YHe77AmBgAcsVFsubQDqwxcyyitifnETMXVeZIlWFmT0FZLr7b8o7FqmcdKUhIiKRxS1pmNkTYaeoTwqYb2b2iJmtNbMVZnZ+vGIREZHSEbfqKTPrDOwBnnH38/KZ35OgzrQnQZ32JHePWrctIiLlIG5XGu7+FkFDW0F6EyQUd/fFQF0zaxSveEREpOTKc8CzxhzbUSkzLPsq74LhWD9DAE499dQL2rRpUyYBioicLJYuXZrl7g2LXrJwlWKUTHefCkwF6Nixoy9ZsqScIxIRqVzMbGPRSxWtPO+e2kRMz1SCAeyi9AoWEZFyUp5JIw24MbyLqhOw092Pq5oSEZGKI27VU2Y2k2Ck0AZmlknQA7UGgLs/BrxKcOfUWoKB4FLjFYuIiJSOuCWNcKC2wuY78J/x2r+IiJQ+9QgXEZHIlDRERCQyJQ0REYlMSUNERCJT0hARkciUNEREJDIlDRERiUxJQ0REIlPSEBGRyJQ0REQkMiUNERGJTElDREQiU9IQEZHIlDRERCQyJQ0REYlMSUNERCJT0hARkciUNEREJDIlDRERiUxJQ0REIlPSEBGRyJQ0REQkMiUNERGJTElDREQiU9IQEZHIlDRERCQyJQ0REYlMSUNERCJT0hARkciUNEREJDIlDRERiUxJQ0REIlPSEBGRyJQ0REQkMiUNERGJLK5Jw8y6m9kaM1trZnfnM7+pmS0ws2VmtsLMesYzHhERKZm4JQ0zSwAeBXoAbYH+ZtY2z2K/AWa7ewegHzA5XvGIiEjJxfNK40JgrbtnuPshYBbQO88yDtQJp1OAzXGMR0RESiieSaMx8GXM+8ywLNYYYKCZZQKvArfntyEzG2JmS8xsybZt2+IRq4iIRFDeDeH9gafcvQnQE3jWzI6Lyd2nuntHd+/YsGHDMg9SREQC8Uwam4CzYt43Ccti3QzMBnD394CaQIM4xiQiIiUQz6TxIdDKzFqYWSJBQ3danmW+ALoBmNm5BElD9U8iIhVU3JKGux8BhgOvA6sJ7pJKN7OxZnZVuNh/AbeY2cfATGCwu3u8YhIRkZKpHs+Nu/urBA3csWX3xUyvAi6NZwwiIlJ6yrshXEREKhElDRERiUxJQ0REIlPSEBGRyJQ0REQkMiUNERGJTElDREQiU9IQEZHIlDRERCQyJQ0REYlMSUNERCJT0hARkciUNEREJDIlDRERiUxJQ0REIlPSEBGRyJQ0REQkMiUNERGJTElDREQiU9IQEZHIlDRERCQyJQ0REYlMSUNERCJT0hARkciUNEREJDIlDRERiUxJQ0REIlPSEBGRyJQ0REQkMiUNERGJTElDREQiU9IQEZHIlDRERCQyJQ0REYksrknDzLqb2RozW2tmdxewzLVmtsrM0s3suXjGIyIiJVM9Xhs2swTgUeByIBP40MzS3H1VzDKtgHuAS939WzM7PV7xiIhIycXzSuNCYK27Z7j7IWAW0DvPMrcAj7r7twDuvjWO8YiISAlFShpmVv8Ett0Y+DLmfWZYFqs10NrM3jGzxWbWvYD9DzGzJWa2ZNu2bScQioiIlIaoVxqLzewFM+tpZlaK+68OtAK6AP2Bv5hZ3bwLuftUd+/o7h0bNmxYirsXEZHiiJo0WgNTgRuAz83s92bWuoh1NgFnxbxvEpbFygTS3P2wu68HPiNIIiIiUgFFShoemOfu/QnaIQYBH5jZIjO7uIDVPgRamVkLM0sE+gFpeZb5O8FVBmbWgCA5ZRT/MEREpCxEunsqbNMYSHCl8TVwO0ECaA+8ALTIu467HzGz4cDrQALwhLunm9lYYIm7p4XzrjCzVUA28Et3317ywxIRkXgwdy96IbPPgGeBJ909M8+8ke7+YJziO07Hjh19yZIlZbU7EZGTgpktdfeOJd1O1DaN37j772IThpn1BSjLhCEiIuUratLIrzf3PaUZiIiIVHyFtmmYWQ+gJ9DYzB6JmVUHOBLPwEREpOIpqiF8M7AEuApYGlO+G/hFvIISEZGKqdCk4e4fAx+b2Qx315WFiEgVV1T11Gx3vxZYZmbH3Wbl7t+PW2QiIlLhFFU9dWf4s1e8AxERkYqvqOqpr8KfG8smHBERqciKqp7aDeTX+88IRhepE5eoRESkQirqSiO5rAIREZGKr1hP7gufrFcz5727f1HqEYmISIUV9SFMV5nZ58B6YBGwAZgbx7hERKQCijqMyO+ATsBn7t4C6AYsjltUIiJSIUVNGofDIcurmVk1d18AlHi0RBERqVyitmnsMLPawFvADDPbCuyNX1giIlIRRb3S6A3sIxhv6jVgHfBv8QpKREQqpiKvNMwsAXjZ3bsCR4Gn4x6ViIhUSEVeabh7NnDUzFLKIB4REanAorZp7AFWmtk8Ytoy3P2OuEQlIiIVUtSk8dfwFavoh4uLiMhJJWrSqOvuk2ILzOzOghYWEZGTU9S7pwblUza4FOMQEZFKoKhRbvsD1wMtzCwtZlYy8E08AxORiiszM5N7772XdevWkZCQgLtz66230r9///IOTeKsqOqpd4GvgAbAQzHlu4EV8QpKRCqujIwMBg8ezKRJk+jQoQMA+/fvZ/To0axevZqxY8eWc4QST4VWT7n7Rndf6O4Xu/uimNdHema4SNU0cuRIpk+fnpswAJKSkhg/fjxbtmxh+fLl5RidxFvUUW53m9mu8HXAzLLNbFe8gxORimXXrl0kJyezatUqunTpwj333MPy5cvp0qULqampjBgxgpdeeqm8w5Q4inT3VOzDmMzMCIYV6RSvoESkYsrKyuKMM86ge/fudO/ePbd84cKFQJBUtm7dWk7RSVmIevdULg/8HbgyDvGISAXWqFEjMjIyjis/cOAAr7/+Ounp6bRo0aIcIpOyEulKw8z6xLytRjAs+oG4RCQiFVZSUhJ169bl3Xff5ZJLLgHgT3/6EwsWLODuu+/md7/7HZMnTz5uvTFjxrB48WKqVw8+co4cOUKnTp0YM2ZMWYYvpSBq577YEW2PEDy5r3epRyMiFd6ECRPo27cvffr0oV+/fgwcOJBLLrmE++67j9TUVJo0aZLverNmzaJu3boA7Nixg4kTJ5Zl2FJKorZppMY7EBGpHJKTk0lLS2PatGkMGDCAvXv30qZNG8aPH0/btm3LOzyJs6jVU62BPwPfcffzzOz7wFXufn9coxORCikxMZGhQ4cydOjQ8g5FyljUhvC/APcAhwHcfQXQL15BiYhIxRQ1adRy9w/ylKlzn4hIFRM1aWSZ2TmEw6Gb2TUEw4uIiEgVEjVp/CcwBWhjZpuAEcBtRa1kZt3NbI2ZrTWzuwtZ7mozczPrGDEeEREpB1Fvud0EPAksAE4DdhEMl17gyGThs8UfBS4HMoEPzSzN3VflWS4ZuBN4v9jRi0iFMWPlDEbNH8UXO7+gaUpTxnUbx4B2AwA4/fTTufHGG6lWLfieevTo0WN6lEvlETVp/APYAXwEbI64zoXAWnfPADCzWQR9O1blWe53wIPALyNuV0TKQWFJYcbKGQyZM4R9h/cBsHHnRobMGQLAgHYDGDZsGMOGDSu32KX0RE0aTdy9uF8LGgNfxrzPBC6KXcDMzgfOcvdXzKzApGFmQ4AhAE2bNi1mGCJSUkUlhVHzR+XOy7Hv8D5GzR+Vm1jk5BC1TeNdM2tXmjs2s2rA/wD/VdSy7j7V3Tu6e8eGDRuWZhgiEkFhSQHgi51f5LteQeVSeUVNGpcBS8NG7RVmttLMinoI0ybgrJj3TcKyHMnAecBCM9tAMGpumhrDRSqeopLCaUmn5TvfzKj222o0n9icGStnxC0+KTtRq6d6nMC2PwRamVkLgmTRj+DRsQC4+06CJwICYGYLgf929yUnsC8RiaOmKU3ZuHPjceWnJZ1G84nN2b5/e77rHfWjwPHVWVJ5RbrSCJ/gd9yriHWOAMOB14HVwGx3TzezsWZ2VclDF5GyMq7bOGrVqHVMWY1qNdh9aHe+ySQ/sdVZUnlFvdI4Ie7+KvBqnrL7Cli2SzxjEZETl3N1EHv31J5Dewq8wiiI2jgqv7gmDRE5eQxoN+CYqqVqvy32M9xomqK7Hyu74v/WRUQoPAHUT6pPYkLiMWW1atRiXLdxhW4zMzOT1NRUOnfuTNeuXenSpQszZ84slXildChpiMgJya+do1aNWkzvM52sX2XxRO8naJbSDMNoltKMqf82tdBG8IyMDK6//nruuOMO3nrrLRYsWMDcuXNZtmwZ992Xb622lANVT4nEWWZmJvfeey8ZGRm4O9WqVePWW2+lf//+5R1aieTXzhHbSzxvdVZRRo4cyfTp09m2bRvbt2+nTp06jBkzhmuuuYbHH3+c5cuX0759+7gci0SnKw2ROMrIyKB79+58++23jB07lnnz5nHppZdy7733Mnr06PIOr8QGtBvAhhEbODr6KBtGbDjh22l37dpFcnIyTZs2ZcyYMcybN4/33nuPd955h5YtWzJixAheeumlUo5eToSuNETiaPjw4XTq1IlPP/2U9957j2effZZatWqxf/9+Fi1aVOm/PQ97ZRhTl04l27Nzy5qlNDvmiiOKrKwszjjjDADmzJmTW/7kk0+yd+9emjRpwtatW0svcDlhutIQiZNdu3aRmZlJSkoKWVlZrF69GoDFixdTs2ZNLrvsskr97XnYK8P485I/H5Mw4F8d+YrTA7xRo0ZkZGSwfft20tPTc8tbtGjBxo0bSU9Pp0WLFqUWu5w4XWmIxElWVhbnnXcevXr1olOnTjRo0ICsrCwGDBjA+vXradGiBbNmzSrvME/YlKVTCpxX3MEKk5KSqFu3LsuXL+fFF1+kevXqNGzYkJUrV3L77bczfvx4Jk+eXFqhSwkoaYjESaNGjTh8+DBdu3YF4JVXXmH27Nm88MILdO3alX/+85+V9tvzjJUzcocIKUhxO/JNmDCBvn370qdPH3r27El2djZZWVmMHj2a1NRUmjRpUpKQpZSoekokTpKSkjjttNN4++23AejRowfTpk0D4MiRI/z+979n4MCB5RlikWasnEHzic2PG3QwynAgBQ1iWJDk5GTS0tLIzs5m6NChpKamMm3aNMaPH8/VV199QvFL6dOVhkgc/fGPf+Tqq6+mT58+XH/99SQnJ7N06VLuvfdebr755gr57TnnYUsbd27EMBwHjh10sLSHA8m5LXndunUkJCTg7rm3JWdmZnLTTTeRkZGBmWFm3HLLLZX+luXKyty9vGMolo4dO/qSJRoIVyqPQ4cOMW3aNF599VX27t1LmzZtGD58OG3bti3XuBJ+m8BR/lXFVI1qdG3Rlfnr5xe6XrOUZpHHnWqW0izfPhyxMjIyGDx4MJMmTaJDhw4A7N+/n9GjR7N//34yMjJ46KGHaNOmDQAHDx7kj3/8I4cPH2bMmDHFOOKqzcyWunuJHz2hpCFSBeR9VGvUkWkLUo1qxyScKGrVqJVvr/C+ffty9913c8cdd9CzZ0/69u3LDTfcQL9+/XjkkUfYu3cv27ZtO257rVu35vnnn6/UtyyXpdJKGmrTEDnJ5TyqdePOjfgaZ+MjG+FJ4AngeeAEuj8UN2FA/kOj53TqO3jwIA888AAJCQmsXr2ap556ih07dtCuXTt+8IMfAJCYmEinTp0AaNKkCbNnz67UtyxXVmrTEDmJzFg5gzvn3plbdVQ/qT4HjhwIHtX6HvA1cB1QM1whC/gHcAXHPmczTjbu3Ejzic1zr3ju/O6dnHHGGfzjH//g/fffB+C1114D4MCBAyR+J5Fle5dBKjRo1IAhPx/C2G/H0r59exITE0vc4a+wthTJn5KGSCU07JVhPLbksdxG6oLktjt8A2QQPGD5KaAPsBZIJ0gY/wfcHLdwj5FTNbZx50ZGfTCKHyz7Ab0u60ViYiK/+tWveO2119iyZQufb/ucd1a+w9HGR8Fgc+Jmhv/fcP50+Z84+P5BTj/99BLdslxYW8rq1asZO3ZsqRzvyUZtGiKVTE5P7GJZDHwONAZ+AGwhSCRtgE8Iksd1QMPSjDSiOVDn/Drse3MfR+odoeaempxV8yx2nL+DbS9tgyuBL4D9QBKwA6yzUe3tamR3z6ZZ0+IPWwJBW8qvf/1r7rjjDi6//HL69euX25ayevVqhg0bdlK1l6hNQ6QKmrFyRvETxgFgA3ARsBFIAz4guNJ4GdgJfI8geRS/qaLkroBdb+7iSJsj0BoOfP8A69utZ9vb2+AnwEcEyewK4DLgx+CLnOx22ZByYsOW5LSlHDp0iHHjxpGYmJjblnLgwAENkFgIVU+JVBIzVs5g8N8HF3/FDUAd4BBwalhWH2gLzCVo39gdLrMbSClxqMVzCtAfWAYsCeI80uAIXA6cTpDQlhG0vRwCGgDdwnmhnEb2d754JxhAcUc2tsBI2ZfC/qP7OXj4IA06N2DiLycyoN2A3AES09LSGDduHJ07d87d1rJly9iyZYsGSCyAkoZIBTdj5Qxu+OsNRbZfFKgNcDbwAsHVxnzgCMFVxWHgu8DHQJdSCPZEVQd+GL6KMy/Gxp0bg6uwb4C/g/dwdjTaEcw8DFkLshh852CYBH1a9iEjI4MuXbowffr03J75+/bt45lnnuH222+vtEO8xJuShkgFdkLtF/lJBDoDbwI/Bpygcro+8BZwbcl3UWG8QdDQvwrIBpoAi4AL4Mg7R/jlM79kwIQB1K1bl3bt2jFv3jwGDhxInTp1+Oqrrzh8+DCTJk3iiSeeKM+jqLCUNEQqoLy3zpaKs4B/J2gU3wIkAOcA1wM1Sm835eoAQYKsS9BonnNctQg+7TrBVx98BRw7QOKIESPYtGkTgwYNIjMzk0cffbRCDvFSEShpiFQgM1bO4Ka/38Sho4fis4MUgruRTlb7gNoEbTVbgOUx89YA3YG9wXke0G4AaWlpTJs2jRtuuIG9e/dy4YUX8swzz5T7EC8VmW65FakASu3KYiewgKBevxpBNVRHoF1JIywHJ3Ish4G/A/UIbgDoQXBX2AFgD3AJkAnNejVjw4gNuatVhU5+pXXLra40RMpZzjAf+w7vK9mGwgZgegCNwrLDBB+82whuX60sinssC4BMguSyNVx/H0HC2EbQ8H8xQa/4n3HM2Fvq5Fc86qchUsZ++sxPsd9a7mvgXweWPGFA0AB8JfAqwYdoFsEYU/WA7cBXJd9FmXkDuJDgFtt3gE+BHQRtE3vI/1iuAQYAw6B6rer0vLQnDb/XEC4ALiW4nbc9kAKG5fbrGDlyJA8//DDDhw9n3LhxfPbZZ3Tp0oVGjRqxZcsWli9fns/Oqi4lDZECvPzyy1x++eV07dqVH//4x1x77bW5z/mOIjMzk9TUVDp37kzXrl1p3K4xdo0VOfT4CclpAD5C0L+hOkHS+Dmwi+Dbd/TQy1fOsTQnSB5HCO7y+jvBJ1YnCj+WU8Cvdjbt3kSTz5rA+wTtGZcT9E0BHGfU/FGFDpioTn75U/WUVElF1WFPnDiR9evXM3v2bOrVqwfAmjVrGDFiBGPGjOGiiy4qdPt5qzyGvTKMhe8tjF9VUU4D8Gr+9S18bcz8K6k8SSPnWGpz7HhYt4Q/DwB7C99EtmWzodYGdry2A/ut5bvMFzu/yO3kd8kllwAc08nv3HPPZfXq1cyePZtFixadtG0dxaUrDalyMjIyuP7667njjjt46623WLBgAXPnzmXZsmXcd999ZGRksHTpUu666y5SU1NZtWoVM2bMYPz48cyaNYv77ruvyH2MHDmS22+/nYMHDzJp0iSmzJwSfONPpuDqlZJIBr4l+IbeA0gNX4MJeoEnENyGWhnkHMtu4LOY8oPASoKkG+FYdh7YCQQPgspP05SmNGrUiIyMDL7++msWLlyYO2///v1MmTKF/v37c+WVV+b7d1JV6UpDqpyRI0dy7bXXsmbNGh566CEuvvhi2rdvT2ZmJrVr1+axxx5jxYoV7Nq1i4SEBGrUqEFSUhIAixcv5pNPPuHTTz/NfZJcrBkrZ3DPK/fw5dovWfzpYupNrEff7n05WvcozAFaEVSvfMK/GnhLQw2C4UCaAguBFgQfvquA75PbAFwS3Vp0Y+03a0v8AKci5RzLNwSN28sJ+lzsJei1/iaRjiWlZjAeyrhu44670aBWjVqM6zaOpKQk6taty5o1a3j11Vd58sknqV+/Phs3bmTHjh3UqVOHt956i4suuoibbrqJ5557jm7dupGZmcny5ctPqgENo1LSkColpw77hhtu4KqrrqJ379706tWL6667jsGDB3P++edz44038vTTT9OuXTuuvfZabrrpJho2bMgDDzxA69atueWWW5g9ezYtrmrBvQvvzX02RM9WPXn646fZ9/U+qA2ZRzP55mffcPa/nU3C3xLIrp0N5wNGkdUrUcQ+vxsIBvSbTTBsSDJBW8D3ocZHNRh661Am3TWJYa8MC8Zm8uzI+7it421M/tnk3LL87vaqVaMWg34wiGdXPMueQ3siH0NiQiKHsvPpk5JzLOcS3PVkBElkPtCBIsfHSqqRxE9aBHWAOaPfxj65MHZU3NhOfr/61a8wM9LT0xkwYAATJ07kueeeo1WrVlxxxRXcf//9PPLII9SoUYOZM2dWyaShfhpSpWRkZPD444/z+9//Pt/5s2bNYty4cYwaNYqzzz6bTp06kfM/0qpVKz755BOGDh3KzqSdvHLqKxyodSB33dwP8Zy+An2BZXDKJ6dQ/9T6bN65ObjDZwdBH4IfRYv51BqnMuXfpgAFf/DlKOnzyPM+FragIccLW6648/IeV27y3b8vGKjwc3IHKqx5aU0uPf9SFm5YSLZnk2AJDLlgCFte3sKSpkvIPJRJ05Sm/PqHv2bzvM2RnyGe97ydeeaZ1KpVi6lTp7Jv3z5q1qxJtWrV2LNnD7Vr12bXrl388pe/ZMqUKZG2XxHoGeEiJ2D//v2kpqYyceJE+vXrd8y8n/3sZ1x22WW88cYbvP/++zRt2pQ///nYcZ8mT57M0qVLeeO8NwqvpplDUEW0E7gY/LdO/yn9mfXXWUHC+BnUblibx3o9dsyHctQP7ZNdznnYuHMjCZZAtmfTLKXg52ZMnjyZ1157jWrVgmbao0eP0r17d4YNG3ZC+8/5O3n44Yf54IMP6N27NwA7duxg7ty5NG/enEWLFnH33Xef+EGWMSUNqRQqYk/b2267jRtvvDH3jpkc2dnZ/PwFp9olAAAPKElEQVTnP2fy5Mls3ryZUaNGcd9993HJJZdw4MABXnrpJZ555hleeukl6k2sV/ioswfJrV4569Kz2DhyY24DampqKldffXVcj1FK7rbbbmPgwIHMnz+f1atXk5KSwqZNm6hevTpvv/02rVu35pRTTin3v+eoKsVDmMysu5mtMbO1ZnZcSjazu8xslZmtMLP5Zpb/bQ5SKeXcpXTddddxzjnnkJ2djbszcuRI+vTpU25xTZgwgbFjxzJ16lR27dqFu/PRRx/Ru3dvBg0aRJMmTbjwwgt58sknSUtL48orr6Rv37588803vPzyy6SkpNA0pWm+2zbC2zvDZ0TUqFaDBnMb0K1bNx5//HHGjx+vhFFJTJgwgfvvv59GjRrx2GOPMXz4cDZv3sz27duZOnUq7733XtW8m8rd4/IiuMlvHcFI/okEI/a3zbNMV6BWOD0UeL6o7V5wwQUulcM111zjb7/9tv/oRz/yOXPm+JQpUzwjI8MnT57s3//+9/2WW24pt9gOHjzokydP9l69ennXrl196NChnp6eHnn96Sume61xtZwx5L5qjavlQ18e6s0ebuY2xrzZw818+orpcTwKibfYv5OGDRv6wIEDffbs2Z6VleUHDx70ESNG+MqVK/2WW27xZcuWlXe4hQKWeGl8tpfGRvLdcHDPw+sx7+8B7ilk+Q7AO0VtV0mjcti5c6enpqZ6p06dvG3btp6UlOR33nmnt2zZ0s8880xPS0vzDh06VPh/tMJMXzFdCaKKyPl7dnfv1auXz5w50xcuXOjdu3f3HTt2eHp6uv/mN78p5ygLV1pJI57VU42BL2PeZ4ZlBbmZYEDj45jZEDNbYmZLtm3bVoohSrxkZWVRr149zj33XJYuXUrfvn0566yzmDlzJk2bNqVdu3a0bNmyUg/RMKDdADaM2MDR0UfZMGJDlWywripyeo4DzJkzh06dOvH111/zi1/8grfffpuDBw9WmcfDVoge4WY2kGDQ4wn5zXf3qe7e0d07NmzYsGyDkxPSqFEj1qxZQ+3atenevTtLlizhoYceonv37px55pmkp6fTtm3bKvOPJpVbTs/xHI0bN+auu+7iueeeo3fv3vzv//5vlXk8bDyTxiaCZ4XlaBKWHcPMfgqMAq5y94NxjEfKUFJSEmeccQarVq3izTffpGXLlsydO5f169dTt25dHnjgATp06FBl/tGkcsvpOf7uu+8CwU0enTt35sEHH2T06NFs3bo19znjJ7u43XJrZtUJRo7pRpAsPgSud/f0mGU6AC8C3d398yjb1S23lcfu3btp27YtXbt2Zf78+bRq1Yo9e/awbt06fvjDH1KzZk0mT56sx2pKpbB79+7cnuP9+vUjOTm5Ut1GXeFvuXX3I8Bw4HWC8TVnu3u6mY01s6vCxSYQjGX5gpktN7O0eMUjZS85OZnly5ezdOlS6tevz9GjR/nhD3/IX/7yFxITE3NvbxWpDJKTk0lLSyM7O5sBAwZU2duo1blP4q6kQ1uISMmpR7iIiERW4aunRETk5KOkISIikSlpiIhIZEoaIiISmZKGiIhEpqQhIiKRKWmIiEhkShoiIhKZkoaIiESmpCEiIpEpaYiISGRKGiIiEpmShoiIRKakISIikSlpiIhIZEoaIiISmZKGiIhEpqQhIiKRKWmIiEhkShoiIhKZkoaIiESmpCEiIpEpaYiISGRKGiIiEpmShoiIRKakISIikSlpiIhIZEoaIiISmZKGiIhEpqQhIiKRKWmIiEhkShoiIhKZkoaIiESmpCEiIpHFNWmYWXczW2Nma83s7nzmn2Jmz4fz3zez5vGMR0RESiZuScPMEoBHgR5AW6C/mbXNs9jNwLfu3hJ4GHgwXvGIiEjJxfNK40JgrbtnuPshYBbQO88yvYGnw+kXgW5mZnGMSURESqB6HLfdGPgy5n0mcFFBy7j7ETPbCdQHsmIXMrMhwJDw7UEz+yQuEZeuBuQ5jgpKcZaeyhAjKM7SVlni/G5pbCSeSaPUuPtUYCqAmS1x947lHFKRFGfpqgxxVoYYQXGWtsoUZ2lsJ57VU5uAs2LeNwnL8l3GzKoDKcD2OMYkIiIlEM+k8SHQysxamFki0A9Iy7NMGjAonL4GeNPdPY4xiYhICcSteipsoxgOvA4kAE+4e7qZjQWWuHsaMA141szWAt8QJJaiTI1XzKVMcZauyhBnZYgRFGdpq1Jxmr7Yi4hIVOoRLiIikSlpiIhIZBUyaZhZXzNLN7OjZlbgrWwFDVMSNr6/H5Y/HzbExyPO08xsnpl9Hv6sl88yXc1seczrgJn9ezjvKTNbHzOvfXnFGS6XHRNLWkx53M9nxHPZ3szeC/82VpjZdTHz4nouSzIkjpndE5avMbMrSzOuE4jzLjNbFZ6/+WbWLGZevr//copzsJlti4nnP2LmDQr/Tj43s0F51y3jOB+OifEzM9sRM69MzqeZPWFmW62A/msWeCQ8hhVmdn7MvOKfS3evcC/gXIKOKAuBjgUskwCsA84GEoGPgbbhvNlAv3D6MWBonOIcD9wdTt8NPFjE8qcRNPjXCt8/BVxTBuczUpzAngLK434+o8QItAZahdNnAl8BdeN9Lgv7W4tZZhjwWDjdD3g+nG4bLn8K0CLcTkI5xtk15u9vaE6chf3+yynOwcCf8ln3NCAj/FkvnK5XXnHmWf52ght+yvp8dgbOBz4pYH5PYC5gQCfg/ZKcywp5peHuq919TRGL5TtMiZkZ8BOCYUkgGKbk3+MUauwwKFH2cw0w1933xSmeghQ3zlxleD6LjNHdP3P3z8PpzcBWoGEcYsmrJEPi9AZmuftBd18PrA23Vy5xuvuCmL+/xQT9p8palPNZkCuBee7+jbt/C8wDuleQOPsDM+MUS4Hc/S2CL6MF6Q0844HFQF0za8QJnssKmTQiym+YksYEw5DscPcjecrj4Tvu/lU4vQX4ThHL9+P4P6px4SXjw2Z2SqlHGIgaZ00zW2Jmi3Oq0Ci781msc2lmFxJ8+1sXUxyvc1nQ31q+y4TnKmdInCjrlmWcsW4m+AaaI7/ffzxEjfPq8Pf5opnldBSukOczrOZrAbwZU1xW57MoBR3HCZ3LchtGxMzeAM7IZ9Yod/9HWcdTkMLijH3j7m5mBd6/HGb2dgT9VnLcQ/ABmUhwD/VIYGw5xtnM3TeZ2dnAm2a2kuDDr1SU8rl8Fhjk7kfD4lI7l1WBmQ0EOgI/jik+7vfv7uvy30LczQFmuvtBM7uV4CruJ+UUSxT9gBfdPTumrCKdz1JTbknD3X9awk0UNEzJdoLLr+rhN778hi+JrLA4zexrM2vk7l+FH2RbC9nUtcDf3P1wzLZzvlkfNLMngf8uzzjdfVP4M8PMFgIdgJcopfNZGjGaWR3gFYIvF4tjtl1q5zIfxRkSJ9OOHRInyrplGSdm9lOCRP1jdz+YU17A7z8eH3JFxunuscMJPU7Q5pWzbpc86y4s9Qj/ta+ov7t+wH/GFpTh+SxKQcdxQueyMldP5TtMiQctPAsI2g8gGKYkXlcuscOgFLWf4+o7ww/HnHaDfwfiNXpvkXGaWb2cKh0zawBcCqwqw/MZJcZE4G8E9bMv5pkXz3NZkiFx0oB+Ftxd1QJoBXxQirEVK04z6wBMAa5y960x5fn+/ssxzkYxb68CVofTrwNXhPHWA67g2Kv3Mo0zjLUNQUPyezFlZXk+i5IG3BjeRdUJ2Bl+yTqxc1kWrfvFfQE/J6hfOwh8Dbwelp8JvBqzXE/gM4LsPSqm/GyCf8y1wAvAKXGKsz4wH/gceAM4LSzvCDwes1xzgqxeLc/6bwIrCT7gpgO1yytO4JIwlo/DnzeX5fmMGONA4DCwPObVvizOZX5/awTVX1eF0zXDc7M2PFdnx6w7KlxvDdAjzv87RcX5Rvg/lXP+0or6/ZdTnA8A6WE8C4A2MeveFJ7ntUBqecYZvh8D/CHPemV2Pgm+jH4V/m9kErRV3QbcFs43ggfirQtj6RizbrHPpYYRERGRyCpz9ZSIiJQxJQ0REYlMSUNERCJT0hARkciUNEREJDIlDalyLBgtt2fM+6ssnxFMS3mfXczsknjuQ6QsKGlIVdSe4P57ANw9zd3/EOd9diG4dz/uwh7pInGhpCGVhpmdamavmNnHZvaJhc/TMLMLzGyRmS01s9djeocvNLMHzewDC5518KOwZ+9Y4DoLnnNwnQXPbvhTuM5TZvbncJC5jPAK4QkzW21mT8XEcoUFz/b4yMxeMLPaYfkGM/ttWL7SzNpY8GyN24BfhPv8UZ7j+rH967kLy8wsOSwfGW7jYzP7Q1jWPoxthZn9LezJm3OsE81sCXCnmTU0s5fM7MPwdWk8fzdShcSzN6VeepXmC7ga+EvM+xSgBvAu0DAsu47wmQYE4+g8FE73BN4IpwcT86yG2PcEz+WYRdCLtjewi2CgyWrAUoKrlAbAW8Cp4TojgfvC6Q3A7eH0MP7Vm30M8N8FHNcc4NJwujbBmHA9wuPKefZFTg/5FQRjRkGQ/CbGHOvkmG0+B1wWTjcFVpf370+vk+Oly1ipTFYCD5nZg8DL7v62mZ0HnAfMC4adIoFgSIUcfw1/LiUYziWKOe7uFozy+7W7rwQws/RwG00IHq70TrjPRGLGHcqzzz4R9vcO8D9mNgP4q7tnhoMKPunhsy/c/RszSyF46NSicL2nCYYuyfF8zPRPgbZhfAB1zKy2u++JEI9IgZQ0pNJw988seFRlT+B+M5tPMIBhurtfXMBqOaO4ZhP97z1nnaMx0znvq4fbmufu/Utjn+7+BzN7heC43rETfyTs3pjpakAndz9wgtsSyZfaNKTSMLMzgX3uPh2YQPCIyzVAQzO7OFymhpl9r4hN7QaSSxDKYuBSM2sZ7vNUM2t9ovs0s3PcfaW7P0gwsmobgqeopZpZrXCZ09x9J/BtTJvIDcCi/LYJ/B/B40dz9hGX589L1aOkIZVJO+ADM1sOjAbu9+AxnNcAD5rZxwQjtxZ1l9ICgqqb5TmN6cXh7tsI2kFmmtkKgqqpNkWsNgf4eX4N4cCIsGF/BcFIpXPd/TWCIa2XhMeb83yQQcCEcNn2FPygqTuAjmGD+SqChniREtMotyIiEpmuNEREJDIlDRERiUxJQ0REIlPSEBGRyJQ0REQkMiUNERGJTElDREQi+395mxxH8aU7rAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "stl.plot_sentiment_space(predicted_sentiment_vectors=pred_pos, top_sentiments=top_20_sents, top_emojis=top_20, style='go')\n", + "stl.plot_sentiment_space(predicted_sentiment_vectors=pred_neg, top_sentiments=top_20_sents, top_emojis=top_20, style='ro')\n", + "stl.plot_sentiment_space(predicted_sentiment_vectors=pred_neu, top_sentiments=top_20_sents, top_emojis=top_20, style='bo')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Project/simple_approach/simple_twitter_learning.py b/Project/simple_approach/simple_twitter_learning.py index 1c30637..6caebfd 100644 --- a/Project/simple_approach/simple_twitter_learning.py +++ b/Project/simple_approach/simple_twitter_learning.py @@ -68,7 +68,7 @@ def sentiment_score(s): #(pos, neg, neu)^T return s[0] - s[1] -def plot_sentiment_space(predicted_sentiment_vectors, top_sentiments, top_emojis): +def plot_sentiment_space(predicted_sentiment_vectors, top_sentiments, top_emojis, style='bo'): # sentiment score axis top_X = np.array([sentiment_score(x) for x in top_sentiments]) pred_X = np.array([sentiment_score(x) for x in predicted_sentiment_vectors]) @@ -85,7 +85,7 @@ def plot_sentiment_space(predicted_sentiment_vectors, top_sentiments, top_emojis plt.ylim([0,1]) for i in range(len(top_X)): plt.text(top_X[i], top_Y[i], top_emojis[i]) - plt.plot(pred_X, pred_Y, 'bo') + plt.plot(pred_X, pred_Y, style) plt.savefig("val-error_sentiment-plot" + str(datetime.datetime.now()) + ".png", bbox_inches='tight') # sentiment score axis @@ -104,7 +104,7 @@ def plot_sentiment_space(predicted_sentiment_vectors, top_sentiments, top_emojis plt.ylim([0,1]) for i in range(len(top_X)): plt.text(top_X[i], top_Y[i], top_emojis[i]) - plt.plot(pred_X, pred_Y, 'bo') + plt.plot(pred_X, pred_Y, style) plt.savefig("val-error_positive-negative-plot" + str(datetime.datetime.now()) + ".png", bbox_inches='tight') plt.show()