Toward multi-label sentiment analysis: a transfer learning based approach

@article{Tao2020TowardMS,
  title={Toward multi-label sentiment analysis: a transfer learning based approach},
  author={Jie Tao and Xing Fang},
  journal={Journal of Big Data},
  year={2020},
  volume={7},
  pages={1-26}
}
Sentiment analysis is recognized as one of the most important sub-areas in Natural Language Processing (NLP) research, where understanding implicit or explicit sentiments expressed in social media contents is valuable to customers, business owners, and other stakeholders. Researchers have recognized that the generic sentiments extracted from the textual contents are inadequate, thus, Aspect Based Sentiment Analysis (ABSA) was coined to capture aspect sentiments expressed toward specific review… CONTINUE READING

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