Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning

This study proposes a novel way of identifying the sentiment of the phrases used in the legal domain. The added complexity of the language used in law, and the inability of the existing systems to accurately predict the sentiments of words in law are the main motivations behind this study... (read more)

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