searchQuery: Find tokens using a Lucene-like search query
In kasperwelbers/tokenlist:

Find tokens using a Lucene-like search query

searchQuery(tokens, indicator, condition = "", code = "",
  doc.col = getOption("doc.col", "doc_id"),
  position.col = getOption("position.col", "position"),
  word.col = getOption("word.col", "word"), default.window = NA,
  condition_once = FALSE, indicator_filter = rep(T, nrow(tokens)),
  presorted = F)

`tokens`	a data frame of tokens containing columns for document id (doc_id), text position (position) and text string (column name can be specified in word.col, defaults to 'word').
`doc.col`	a character string giving the name of the document id column in the tokens data.frame
`position.col`	a character string giving the name of the word position column in the tokens data.frame
`word.col`	a character string giving the name of the word column in the tokens data.frame
`condition_once`	logical. If TRUE, then if an indicator satisfies its conditions once in an article, all indicators within that article are coded.
`presorted`	The data has to be sorted on order(doc_id, position). If this is already the case, presorted can be set to TRUE to save time (which is usefull when testing many individual queries for large tokenlists)
`queries`	a data frame containing the queries.
`batchsize`	This function is faster if multiple queries are searched together, but too many queries (with too many tokens) at once can eat up memory or crash R. Try lowering batchsize in case of issues.