Description
One of the key use cases of legal sentiment analysis is in assisting legal professionals in predicting case outcomes. By analyzing the sentiment expressed in previous court decisions and related documents, sentiment analysis algorithms can identify patterns and correlations between the sentiment and the final verdict. This can help lawyers and judges in assessing the strength of legal arguments, evaluating the potential impact of public opinion on the case, and making more accurate predictions about the likely outcome of ongoing cases. The dataset consists of two colums; the phrases and the sentiments.