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

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

Abstract 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 r...

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Bibliographic Details
Main Authors: Jie Tao, Xing Fang
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:Journal of Big Data
Subjects:
Transfer learning
Multi-label classification
Sentiment analysis
Natural language processing
Deep learning
Online Access:https://doi.org/10.1186/s40537-019-0278-0

Internet

https://doi.org/10.1186/s40537-019-0278-0

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