Attention, which is widely applied to Computer Vision (CV) and NLP fields, is an effective mechanism and has been demonstrated in image recognition (Mnih et al., 2014), machine translation Luong et al., 2015) and reading comprehension (Hermann et al., 2015;Cui et al., 2016).
some researchers have designed attention networks to address the aspect-level sentiment analysis and have obtained comparable results, such as AE-LSTM , ATAE-LSTM  and IAN (Ma et al., 2017).