In　today＇s　world,　vast　amounts　of　information　are　available　to　us.　For　decades,　scientists　have　sought　to　develop　the　most　efficient　methods　of　querying　these　data　and　extracting　the　information　needed.　In　this　survey,　we　describe　the　basics　of　sentiment　analysis　and　discuss　prominent　work　in　natural　language　processing,　focusing　on　the　domain　of　movie　reviews.　We　discuss　methods　that　operate　using　lexicon-based　approaches,　conventional　machine　learning　approaches,　deep　learning　approaches,　and　hybrid　approaches.　Compared　with　previous　papers,　this　article　offers　more　comprehensive　coverage,　as　it　includes　the　latest　methodologies　in　the　field,　e.g.,　the　use　of　BERT　in　sentiment　analysis　of　movie　reviews.　We　also　highlight　the　limitations　of　research　to　date　and　point　to　potential　directions　for　future　work.　©　VDE　VERLAG　GMBH　·　Berlin　·　Offenbach.