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Analyzing the sentiments of legal opinions available in Legal Opinion Textscan facilitate several use cases such as legal judgement prediction,contradictory statements identification and party-based sentiment analysis.However, the task of developing a legal domain specific sentiment annotator ischallenging due to resource constraints such as lack of domain specificlabelled data and domain expertise. In this study, we propose novel techniquesthat can be used to develop a sentiment annotator for the legal domain whileminimizing the need for manual annotations of data.

Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting