Although LSC <cite>[2]</cite> already raised a lifelong approach, it only aims to improve the classification accuracy. Based on the LSC, this paper advances the lifelong learning in sentiment classification and have two main contributions: • A improved lifelong learning paradigm is proposed to solve the sentiment classification problem under unsupervised learning setting with previous knowledge. • We introduce a novel approach to discover and store the words with sentiment polarity for reuse.