diff --git a/Project/advanced_approach/Evaluation_sentiment_dataset.ipynb b/Project/advanced_approach/Evaluation_sentiment_dataset.ipynb index 030ae6c..6652e30 100644 --- a/Project/advanced_approach/Evaluation_sentiment_dataset.ipynb +++ b/Project/advanced_approach/Evaluation_sentiment_dataset.ipynb @@ -43,6 +43,7 @@ "import re\n", "import matplotlib.pyplot as plt\n", "import matplotlib\n", + "import datetime\n", "matplotlib.rc('font', family='symbola', size=16)" ] }, @@ -116,7 +117,7 @@ " pred_X = np.array([sentiment_score(x) for x in predicted_sentiment_vectors_list[i]])\n", " pred_Y = np.array([x[2] for x in predicted_sentiment_vectors_list[i]])\n", " plt.plot(pred_X, pred_Y, style[i], alpha=0.5)\n", - " #plt.savefig(\"val-error_sentiment-plot\" + str(datetime.datetime.now()) + \".png\", bbox_inches='tight')\n", + " plt.savefig(\"val-error_sentiment-plot\" + str(datetime.datetime.now()) + \".png\", bbox_inches='tight')\n", "\n", " # sentiment score axis\n", " top_X = np.array([x[0] for x in top_sentiments])\n", @@ -138,7 +139,7 @@ " pred_X = np.array([x[0] for x in predicted_sentiment_vectors_list[i]])\n", " pred_Y = np.array([x[1] for x in predicted_sentiment_vectors_list[i]])\n", " plt.plot(pred_X, pred_Y, style[i], alpha=0.5)\n", - " #'plt.savefig(\"val-error_positive-negative-plot\" + str(datetime.datetime.now()) + \".png\", bbox_inches='tight')\n", + " plt.savefig(\"val-error_positive-negative-plot\" + str(datetime.datetime.now()) + \".png\", bbox_inches='tight')\n", " plt.show()" ] },