These models have advantage over distributed representations as: i) they are specialised on a single task rather than built as general-purpose representations; ii) their recurrent nature allows to capture the sequential composition of polarity in a sentence.
since training these models requires large amounts of annotated data, resource scarcity in other languages hampers their portability.