A semantic review on the current cases in the Indian judicial system and recommendations
Abstract
This project aims to classify cases pending in the Indian Judicial System in 10 broad categories using Semantic Legal Classifier. This is done using a data size of 435 cases which have been decided already by the Supreme Cases to understand the tendency and frequency of cases. The classes have been created with varying degree of precision and recall. These classes could then be used to make recommendations on optimal scheduling these cases.
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