Analyzing_the_social_media_data_in_python.ipynb

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    "# Analyzing the Social Media Data using Python\n",
    "* How to Collect Twitter data? \n",
    "* How to process Twitter data?\n",
    "* How to analyze Twitter data?\n",
    "* How to map Twitter data geographically.\n",
    "\n",
    "`Twitter is one of the largest social media networking sites. analyzing the twitter data could help to provide the following items.`\n",
    "* Popular trends and important cultural\n",
    "* Political moments\n",
    "* Marketing ot product analysis\n",
    "*  Measure of public opinion on important political or social topics\n",
    "\n",
    "`What we can't do`\n",
    "* We can not collect the historical data\n",
    "* Only %1 unverified sample which has a few million tweets a day including the information of  text, user information, geolocation, retweet, and quoted tweets"
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    "```python\n",
    "from tweepy import OAuthHandler\n",
    "from tweepy import API\n",
    "\n",
    "# Consumer key authentication\n",
    "auth = OAuthHandler(consumer_key, consumer_secret)\n",
    "\n",
    "# Access key authentication\n",
    "auth.set_access_token(access_token, access_token_secret)\n",
    "\n",
    "# Set up the API with the authentication handler\n",
    "api = API(auth)\n",
    "\n",
    "from tweepy import Stream\n",
    "\n",
    "# Set up words to track\n",
    "keywords_to_track = (\"#rstats\",\"#python\")\n",
    "\n",
    "# Instantiate the SListener object \n",
    "listen = SListener(api)\n",
    "\n",
    "# Instantiate the Stream object\n",
    "stream = Stream(auth, listen)\n",
    "\n",
    "# Begin collecting data\n",
    "stream.filter(track = keywords_to_track)\n",
    "\n",
    "```"
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