R: Simple Sentiment Analysis Using Deep Learning

# Simple Sentiment Analysis Using Deep Learning

## Documentation for package ‘sentiment.ai’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

sentiment.ai-package | sentiment.ai: Simple Sentiment Analysis Using Deep Learning
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
check_sentiment.ai | setup
cosine | Cosine Similarity
cosine_match | Cosine Similarity
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()').
init_sentiment.ai | setup
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 | sentiment.ai: Simple Sentiment Analysis Using Deep Learning
sentiment.env | Sentiment AI Embedding Environment
sentiment_match | Sentiment Matching
sentiment_score | Simple Sentiment Scores