R/package-sentiment_ai.R

#' @description
#' This package uses Google's Universal Sentence Encoder, simplifies all the
#' difficulties, and turns it into a sentiment analysis package.
#'
#' Main Benefits:
#' \itemize{
#'   \item{Tolerates spelling mitsakes}
#'   \item{Not dependent on exactly matching a fixed dictionary}
#'   \item{Requires less pre-processing}
#'   \item{More powerful than dictionary-based methods}
#' }
#'
#' Main Drawbacks:
#' \itemize{
#'   \item{Requires a lot of RAM}
#'   \item{Can be slow on larger datasets (unless using GPU)}
#' }
#'
#' Effectively, if you have a reasonably powerful computer, you can use
#' sentiment.ai as a more flexible, powerful, and modern approach to sentiment
#' analysis.
"_PACKAGE"

Try the sentiment.ai package in your browser

Any scripts or data that you put into this service are public.

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