Simple Sentiment Analysis Using Deep Learning

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Documentation for package ‘sentiment.ai’ version 0.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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