comments

Project/Tools/User_Interface.ipynb

@@ -56,7 +56,10 @@
    },
    "outputs": [],
    "source": [
+    "#locally defined based on the first analysis of parts of our twitter data: resulting in the 20 most used emojis\n",
+    "#we used them for our first approaches of prediction\n",
     "top_emojis = ['😂','😭','😍','😩','😊','😘','🙏','🙌','😉','😁','😅','😎','😢','😒','😏','😌','😔','😋','😀','😤']\n",
+    "#possible initial set of predictions, only used in naive test cases\n",
     "predictions = [\"🤐\",\"🤑\",\"🤒\",\"🤓\",\"🤔\",\"🤕\",\"🤗\",\"🤘\"]"
    ]
   },
@@ -96,6 +99,7 @@
     }
    ],
    "source": [
+    "#navigation into right path and generating classifier\n",
     "import sys\n",
     "sys.path.append(\"..\")\n",
     "\n",
@@ -323,7 +327,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 24,
    "metadata": {
     "collapsed": true
    },
@@ -331,7 +335,7 @@
    "source": [
     "text_input.on_submit(submit_new_message)\n",
     "\n",
-    "#text_input.observe(lambda b: trigger_new_prediction(None, text_input.value))"
+    "text_input.observe(lambda b: trigger_new_prediction(None, text_input.value))"
    ]
   },
   {
@@ -547,13 +551,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3b8a6a311c1e4a1bb2b711d59246577a",
+       "model_id": "1dddd15a4fa74985a42761c4de6a5598",
        "version_major": 2,
        "version_minor": 0
       },