Lifelong Learning for Sentiment Classification

Understand

This paper proposes a novel lifelong learning (LL) approach to sentiment classification.

• LL mimics the human continuous learning process, i.e., retaining the knowledge learned from past tasks and use it to help future learning.
• In this paper, we first discuss LL in general and then LL for sentiment classification in particular.
• The proposed LL approach adopts a Bayesian optimization framework based on stochastic gradient descent.