2018-07-16 11:54:56 +02:00
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{
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"cells": [
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{
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"cell_type": "code",
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2018-07-24 11:04:25 +02:00
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"execution_count": 1,
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2018-07-16 11:54:56 +02:00
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"metadata": {},
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"outputs": [],
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"source": [
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2018-07-20 13:46:12 +02:00
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"%matplotlib inline\n",
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"#widget"
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2018-07-16 11:54:56 +02:00
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]
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},
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{
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"cell_type": "code",
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2018-07-24 11:04:25 +02:00
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"execution_count": 2,
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2018-07-20 13:46:12 +02:00
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"metadata": {
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"collapsed": true
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},
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2018-07-16 11:54:56 +02:00
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"outputs": [],
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"source": [
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"def sentiment_score(s):\n",
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" #(pos, neg, neu)^T\n",
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" return s[0] - s[1]"
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]
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},
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{
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"cell_type": "code",
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2018-07-24 11:04:25 +02:00
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"execution_count": 3,
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2018-07-20 13:46:12 +02:00
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"metadata": {
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"collapsed": true
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},
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2018-07-16 11:54:56 +02:00
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"outputs": [],
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"source": [
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"import Emoji_Distance as edist\n",
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2018-07-16 12:10:35 +02:00
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"import numpy as np\n",
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"from __future__ import unicode_literals\n",
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"\n",
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2018-07-20 11:54:14 +02:00
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"import matplotlib.pyplot as plt\n",
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"import matplotlib\n"
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2018-07-16 11:54:56 +02:00
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]
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},
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{
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"cell_type": "code",
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2018-07-24 11:04:25 +02:00
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"execution_count": 4,
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2018-07-20 13:46:12 +02:00
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"metadata": {
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"collapsed": true
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},
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2018-07-16 11:54:56 +02:00
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"outputs": [],
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"source": [
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"list_emoticon_scores = np.array([sentiment_score(x) for x in edist.list_sentiment_emoticon_vectors])"
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]
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},
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{
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"cell_type": "code",
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2018-07-24 11:04:25 +02:00
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"execution_count": 5,
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2018-07-20 13:46:12 +02:00
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"metadata": {
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"collapsed": true
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},
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2018-07-20 11:54:14 +02:00
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"outputs": [],
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"source": [
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2018-07-24 11:04:25 +02:00
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"matplotlib.rc('font', family='symbola', size=32)"
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2018-07-20 11:54:14 +02:00
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]
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},
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{
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"cell_type": "code",
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2018-07-24 11:04:25 +02:00
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"execution_count": 6,
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2018-07-20 13:46:12 +02:00
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"metadata": {
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"collapsed": true
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},
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2018-07-16 11:54:56 +02:00
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"outputs": [],
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"source": [
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"def plot_emoji_list(sentiment_vectors, unicode_repr, title=\"Emoji Space\"):\n",
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" \n",
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" # sentiment score axis\n",
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" X = np.array([sentiment_score(x) for x in sentiment_vectors])\n",
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" \n",
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" # neutral axis:\n",
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" Y = np.array([x[2] for x in sentiment_vectors])\n",
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" \n",
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2018-07-20 11:54:14 +02:00
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" fig_1, ax_1 = plt.subplots(figsize=(15,10))\n",
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" plt.title(title + \" -- sentiment-plot\")\n",
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2018-07-16 11:54:56 +02:00
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" plt.xlabel(\"sentiment score\")\n",
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" plt.ylabel(\"neutrality\")\n",
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2018-07-20 13:46:12 +02:00
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" plt.xlim([-0.4,0.9])\n",
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" plt.ylim([0.07,0.6])\n",
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2018-07-16 11:54:56 +02:00
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" for i in range(len(X)):\n",
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" plt.text(X[i], Y[i], unicode_repr[i])\n",
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2018-07-20 11:54:14 +02:00
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" plt.savefig(title + \" -- sentiment-plot.png\", bbox_inches='tight')\n",
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" \n",
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" # sentiment score axis\n",
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" X = np.array([x[0] for x in sentiment_vectors])\n",
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" \n",
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" # neutral axis:\n",
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" Y = np.array([x[1] for x in sentiment_vectors])\n",
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" \n",
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" fig_2, ax_2 = plt.subplots(figsize=(15,10))\n",
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" plt.title(title + \" -- positive-negative-plot\")\n",
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2018-07-20 13:46:12 +02:00
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" plt.xlim([0.15,0.85])\n",
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" plt.ylim([0.0,0.7])\n",
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2018-07-20 11:54:14 +02:00
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" plt.xlabel(\"positive\")\n",
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" plt.ylabel(\"negative\")\n",
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" for i in range(len(X)):\n",
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" plt.text(X[i], Y[i], unicode_repr[i])\n",
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" plt.savefig(title + \" -- positive-negative-plot.png\", bbox_inches='tight')\n",
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2018-07-16 12:11:39 +02:00
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" #plt.show()\n",
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2018-07-20 11:54:14 +02:00
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" "
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2018-07-16 11:54:56 +02:00
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]
|
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},
|
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{
|
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"cell_type": "code",
|
2018-07-24 11:04:25 +02:00
|
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"execution_count": 7,
|
2018-07-16 11:54:56 +02:00
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"metadata": {},
|
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"outputs": [
|
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{
|
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"data": {
|
2018-07-24 11:04:25 +02:00
|
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"image/png": "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2018-07-16 11:54:56 +02:00
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"text/plain": [
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2018-07-24 11:04:25 +02:00
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"<Figure size 1080x720 with 1 Axes>"
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2018-07-16 11:54:56 +02:00
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]
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},
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"metadata": {},
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"output_type": "display_data"
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2018-07-16 12:11:39 +02:00
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},
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{
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"data": {
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2018-07-24 11:04:25 +02:00
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"image/png": "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
|
2018-07-16 12:11:39 +02:00
|
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"text/plain": [
|
2018-07-24 11:04:25 +02:00
|
|
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"<Figure size 1080x720 with 1 Axes>"
|
2018-07-16 12:11:39 +02:00
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|
]
|
|
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|
},
|
|
|
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|
"metadata": {},
|
2018-07-20 11:54:14 +02:00
|
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"output_type": "display_data"
|
2018-07-16 11:54:56 +02:00
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}
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],
|
|
|
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"source": [
|
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|
|
"plot_emoji_list(sentiment_vectors=edist.list_sentiment_emoticon_vectors, unicode_repr=edist.list_emoticon_emojis, title=\"Emoticon Emoji space\")"
|
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|
]
|
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},
|
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|
{
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|
|
|
"cell_type": "code",
|
2018-07-24 11:04:25 +02:00
|
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|
"execution_count": 8,
|
2018-07-16 11:54:56 +02:00
|
|
|
"metadata": {},
|
2018-07-16 12:11:39 +02:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2018-07-24 11:04:25 +02:00
|
|
|
"image/png": "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
|
2018-07-16 12:11:39 +02:00
|
|
|
"text/plain": [
|
2018-07-24 11:04:25 +02:00
|
|
|
"<Figure size 1080x720 with 1 Axes>"
|
2018-07-16 12:11:39 +02:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2018-07-24 11:04:25 +02:00
|
|
|
"image/png": "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
|
2018-07-16 12:11:39 +02:00
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"text/plain": [
|
2018-07-24 11:04:25 +02:00
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"<Figure size 1080x720 with 1 Axes>"
|
2018-07-16 12:11:39 +02:00
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]
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},
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"metadata": {},
|
2018-07-20 11:54:14 +02:00
|
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"output_type": "display_data"
|
2018-07-16 12:11:39 +02:00
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}
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],
|
2018-07-16 11:54:56 +02:00
|
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"source": [
|
|
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|
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"plot_emoji_list(sentiment_vectors=edist.list_sentiment_vectors, unicode_repr=edist.list_emojis, title=\"Full Emoji space\")"
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]
|
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}
|
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|
|
],
|
|
|
|
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"metadata": {
|
|
|
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"kernelspec": {
|
|
|
|
|
"display_name": "Python 3",
|
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"language": "python",
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|
|
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"name": "python3"
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},
|
|
|
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"language_info": {
|
|
|
|
|
"codemirror_mode": {
|
|
|
|
|
"name": "ipython",
|
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|
|
|
"version": 3
|
|
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|
},
|
|
|
|
|
"file_extension": ".py",
|
|
|
|
|
"mimetype": "text/x-python",
|
|
|
|
|
"name": "python",
|
|
|
|
|
"nbconvert_exporter": "python",
|
|
|
|
|
"pygments_lexer": "ipython3",
|
2018-07-23 20:11:24 +02:00
|
|
|
"version": "3.6.5"
|
2018-07-16 11:54:56 +02:00
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"nbformat": 4,
|
|
|
|
|
"nbformat_minor": 2
|
|
|
|
|
}
|
