Sentiment Analysis

Aspect-level sentiment analysis still remains a challenge: how to capture contextual semantic correlation between aspect word and content words more effectively. LSTM-SNP and GSNP are two recurrent-like models, abstracted from nonlinear spiking mechanisms in nonlinear spiking neural P systems. To address the challenge, LSTM-SNP and GSNP models are introduced to develop two methods for aspect-level sentiment classification problems. This chapter will describe in detail the two aspect-level sentiment classification methods.