In order to accomplish our goals quickly by bootstrapping this system, we must disqualify ourselves from the prize money. To put this in perspective, it is highly unlikely we would build a system that can achieve top 3 leaderboard results, so this isn't unreasonable.

Web REST apis:

1. indico.io

   Documentation: https://indico.io/docs

   Request Limit: 50k per month

   Installation:

    #requests >= 1.2.3
    $ `pip install requests`
   
    #six >= 1.3.0
    $ `pip install six`
   
    #pillow >= 2.8.1
    $ `pip install pillow`
   
    $ `pip install indicoio`
   

2. www.alchemyapi.com

   NOTE: ALCHEMY API ISN'T WORKING RIGHT NOW. THEY CLAIM MY API KEY IS INVALID

   Documentation: http://www.alchemyapi.com/api

   Request Limit: 1k per day

   Installation:

    $ `pip install requests`
   
   
    ########## MAKE SURE THE NEXT COMMANDS ARE NOT IN OUR REPO FOLDER! ########
    ######################## PUT IT ONE DIRECTORY UP!! ########################
   
    If you prefer to place the files elsewhere, you must add your path to your header
    in your Python files:
   
    import sys
    sys.path.append('FILL_IN_PATH_HERE/alchemyapi_python')
   
   
    $ `git clone https://github.com/AlchemyAPI/alchemyapi_python.git`
    $ `cd alchemyapi_python/`
   
    # Fill in our API_KEY from the secrets file
    $ `python alchemyapi.py OUR_API_KEY`
   
    If this gives you an error, I recommend updating your python version.  I had 
    the problem where pip install verified installation of requests but I was unable
    to import the module.  EZ update fix.
   
    Now at the top of each python document that you will add the following:
   
        "from ../alchemyapi import AlchemyAPI"
   
    Instantiating an object is as simple as:
   
        "alchemyapi = AlchemyAPI()"
   
    Example:
   
        myText = "I'm excited to get started with AlchemyAPI!"
        response = alchemyapi.sentiment("text", myText)
        print "Sentiment: ", response["docSentiment"]["type"]
   

Gensim's python package of Word2Vec:

Documentation: https://radimrehurek.com/gensim/models/word2vec.html

Installation:

Note, this may require dependencies that I am not aware of since
I may have had them already downloaded.  This may include the package numpy.


$ `pip install gensim`