SEML: A Semi-Supervised Multi-Task Learning Framework for Aspect-Based Sentiment Analysis.

Ning Li Chi-Yin Chow Jia-Dong Zhang

Published in: IEEE Access (2020)

Keyphrases

sentiment analysis
multi task learning
multi task
semi supervised
multitask learning
opinion mining
text classification
sentiment classification
learning tasks
sentiment lexicon
inductive learning
learning algorithm
topic models
text mining
natural language processing
prior knowledge
training data