% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sentencizer.R
\name{sentencizer}
\alias{sentencizer}
\title{Generate sentence-level dataset with sentiment and actor presence}
\usage{
sentencizer(out, sent_dict = NULL, localhost = NULL, validation = F)
}
\arguments{
\item{out}{Data frame produced by elasticizer}

\item{sent_dict}{Optional dataframe containing the sentiment dictionary and values. Words should be either in the "lem_u" column when they consist of lemma_upos pairs, or in the "lemma" column when they are just lemmas. The "prox" column should either contain word values, or 0s if not applicable.}

\item{validation}{Boolean indicating whether human validation should be performed on sentiment scoring}
}
\value{
No return value, data per batch is saved in an RDS file
}
\description{
Generate sentence-level dataset with sentiment and actor presence
}
\examples{
sentencizer(out, sent_dict = NULL, validation = F)
}