new files

Author: Ramon-Diaz

label_tweet.ipynb

@@ -16,22 +16,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[nltk_data] Downloading package vader_lexicon to\n",
+      "[nltk_data]     /home/ec2-user/nltk_data...\n"
+     ]
+    }
+   ],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
     "\n",
     "import re\n",
-    "#import nltk\n",
-    "#nltk.download('vader_lexicon')\n",
+    "import nltk\n",
+    "nltk.download('vader_lexicon')\n",
     "from nltk.sentiment.vader import SentimentIntensityAnalyzer"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,17 +49,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
-    "data_location = 's3://tweets-hackoff2/tesla_sf.csv'\n",
+    "from sagemaker import get_execution_role\n",
+    "\n",
+    "role = get_execution_role()\n",
+    "data_location = 's3://tweets-hackoff1/tweets_tesla_sf.csv'\n",
     "df = pd.read_csv(data_location)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -85,7 +97,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -94,18 +106,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "<__main__.SentimentAnalysisTweets at 0x20e6cf84188>"
+       "<__main__.SentimentAnalysisTweets at 0x7f89d4988860>"
       ]
      },
+     "execution_count": 7,
      "metadata": {},
-     "execution_count": 8
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -114,7 +126,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -125,23 +137,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
     "# instantiate S3 client and upload to s3\n",
     "import boto3\n",
     "\n",
     "s3 = boto3.resource('s3')\n",
-    "s3.meta.client.upload_file('label_tweets.csv', 'tweets-hackoff', 'label_tweets.csv')"
+    "s3.meta.client.upload_file('label_tweets.csv', 'tweets-hackoff1', 'label_tweets.csv')"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3",
-   "language": "python"
+   "display_name": "conda_python3",
+   "language": "python",
+   "name": "conda_python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -153,9 +172,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4-final"
+   "version": "3.6.10"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}