Attention-based long short-term memory (LSTM) networks have proven to be useful in aspect-level sentiment classification.
(2016), the authors investigated the transferability of neural models in NLP applications with extensive experiments, showing that transferability largely depends on the semantic relatedness of the source and target tasks.