embed_text: Create Text Embedding Matrix

In sentiment.ai: Simple Sentiment Analysis Using Deep Learning

Create Text Embedding Matrix

Description

turns character vector into length(text) x 512 embedding matrix. For power users. Requires init_sentiment.ai() to have been called!

Usage

embed_text(text, batch_size = NULL, model = NULL)

Arguments

text	character vector to be embedded. Note that longer comments take longer.
batch_size	integer - how many to embed at once. Higher numbers are faster but use more memory.
model	character - the embedding model to use (same as sentiment_score()).

Value

numeric matrix of length(text) x 512. Original text is stored in the row names attribute.

sentiment.ai documentation built on March 19, 2022, 2:15 a.m.