airline_tweets          Airline Tweet Data
as_py_list              as py list because R to Python conversion
                        doesn't work with list is of length 1
default                 Default sentiment matching dictionary
embed_text              Create Text Embedding Matrix
get_default_embedding   get default embedding If it exists, return the
                        object. If not, try downloading it. If download
                        works, return object. Else return 'NULL' (to be
                        handles in 'embed_topics()').
install_default_embeddings
                        Function to grab the default embeddings for
                        'sentiment_match()' Necessary to keep package
                        size under 5Mb. Will check if they're there, if
                        so return TRUE. If they are not there, try
                        download and return TRUE. Otherwise, return
                        FALSE (and generate them - will take a few
                        seconds!).
install_scoring_model   Install a Scoring Model
install_sentiment.ai    setup
matrix_similarity       Cosine Similarity
read_embedding          Read embedding file. Take json path, return
                        single embedding object for specific model.
sentiment.ai-package    sentiment.ai: Simple Sentiment Analysis Using
                        Deep Learning
sentiment.env           Sentiment AI Embedding Environment
sentiment_match         Sentiment Matching
sentiment_score         Simple Sentiment Scores
