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36 lines
1.1 KiB
36 lines
1.1 KiB
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/actor_fetcher.R
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\name{actor_fetcher}
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\alias{actor_fetcher}
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\title{Generate actor data frames (with sentiment) from database}
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\usage{
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actor_fetcher(
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out,
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sent_dict = NULL,
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actor_ids = NULL,
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cores = 1,
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localhost = NULL,
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validation = F
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)
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}
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\arguments{
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\item{out}{Data frame produced by elasticizer}
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\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.}
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\item{actor_ids}{Optional vector containing the actor ids to be collected}
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\item{cores}{Number of threads to use for parallel processing}
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\item{validation}{Boolean indicating whether human validation should be performed on sentiment scoring}
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}
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\value{
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No return value, data per batch is saved in an RDS file
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}
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\description{
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Generate actor data frames (with sentiment) from database
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}
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\examples{
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actor_fetcher(out, sent_dict = NULL, cores = 1)
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}
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