diff --git a/NAMESPACE b/NAMESPACE
index 2419881..e7b6e5f 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,6 +1,5 @@
 # Generated by roxygen2: do not edit by hand
 
-export(actor_merger)
 export(actorizer)
 export(bulk_writer)
 export(class_update)
@@ -20,5 +19,6 @@ export(out_parser)
 export(preproc)
 export(query_gen_actors)
 export(query_string)
+export(sent_merger)
 export(sentencizer)
 export(ud_update)
diff --git a/man/actor_merger.Rd b/man/actor_merger.Rd
deleted file mode 100644
index f965662..0000000
--- a/man/actor_merger.Rd
+++ /dev/null
@@ -1,24 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/actor_merger.R
-\name{actor_merger}
-\alias{actor_merger}
-\title{Aggregate sentence-level dataset containing actors (from sentencizer())}
-\usage{
-actor_merger(df, actors_meta, actor_groups = NULL)
-}
-\arguments{
-\item{df}{Data frame with actor ids, produced by sentencizer}
-
-\item{actors_meta}{Data frame containing actor metadata obtained using elasticizer(index="actors")}
-
-\item{actor_groups}{Optional list of vectors, where each vector contains actor ids to be merged (e.g. merge all left-wing parties)}
-}
-\value{
-When no ids, returns actor-article dataset with individual actors, party aggregations, party-actor aggregations and overall actor sentiment (regardless of specific actors). When ids, returns aggregations for each vector in list
-}
-\description{
-Aggregate sentence-level dataset containing actors (from sentencizer())
-}
-\examples{
-actor_merger(df, actors_meta, ids = NULL)
-}
diff --git a/man/sent_merger.Rd b/man/sent_merger.Rd
new file mode 100644
index 0000000..ba33559
--- /dev/null
+++ b/man/sent_merger.Rd
@@ -0,0 +1,34 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/sent_merger.R
+\name{sent_merger}
+\alias{sent_merger}
+\title{Aggregate sentence-level dataset containing sentiment (from sentencizer())}
+\usage{
+sent_merger(
+  df,
+  actors_meta = NULL,
+  actor_groups = NULL,
+  pos_cutoff = NULL,
+  neg_cutoff = NULL
+)
+}
+\arguments{
+\item{df}{Data frame with actor ids, produced by sentencizer}
+
+\item{actors_meta}{Optional data frame containing actor metadata obtained using elasticizer(index="actors")}
+
+\item{actor_groups}{Optional list of vectors, where each vector contains actor ids to be merged (e.g. merge all left-wing parties)}
+
+\item{pos_cutoff}{Optional value above which sentence-level sentiment scores should be considered "positive"}
+
+\item{neg_cutoff}{Optional value below which sentence-level sentiment scores should be considered "negative"}
+}
+\value{
+When no ids, returns actor-article dataset with individual actors, party aggregations, party-actor aggregations and overall actor sentiment (regardless of specific actors). When ids, returns aggregations for each vector in list
+}
+\description{
+Aggregate sentence-level dataset containing sentiment (from sentencizer())
+}
+\examples{
+sent_merger(df, actors_meta, ids = NULL)
+}