def get_docs(d):
    """
    Accepts a dictionary of the form {user: [cleaned word list]} and then
    returns the a list of lists, where each outer list is the word list for a 
    particular user. This forms our document corpus on which we make LDA
    predictions.
    """
    docs = []
    for user in d:
        text_list = d[user]
        docs.append(text_list)
    return docs