Simple Sentiment Analysis Using Deep Learning
as py list because R to Python conversion doesn't work with list is of...
Create Text Embedding Matrix
get default embedding If it exists, return the object. If not, try dow...
Function to grab the default embeddings for sentiment_match()Necessa...
Install a Scoring Model
Cosine Similarity
Read embedding file. Take json path, return single embedding object fo...
sentiment.ai: Simple Sentiment Analysis Using Deep Learning
Sentiment AI Embedding Environment
Sentiment Matching
Simple Sentiment Scores
setup
Sentiment Analysis via deep learning and gradient boosting models with a lot of the underlying hassle taken care of to make the process as simple as possible. In addition to out-performing traditional, lexicon-based sentiment analysis (see <https://benwiseman.github.io/sentiment.ai/#Benchmarks>), it also allows the user to create embedding vectors for text which can be used in other analyses. GPU acceleration is supported on Windows and Linux.