% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/actor_fetcher.R
\name{actor_fetcher}
\alias{actor_fetcher}
\title{Generate actor data frames (with sentiment) from database}
\usage{
actor_fetcher(
  out,
  sent_dict = NULL,
  actor_ids = NULL,
  cores = 1,
  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 NAs if not applicable.}

\item{actor_ids}{Optional vector containing the actor ids to be collected}

\item{cores}{Number of threads to use for parallel processing}

\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 actor data frames (with sentiment) from database
}
\examples{
actor_fetcher(out, sent_dict = NULL, cores = 1)
}