A semantic review on the current cases in the Indian judicial system and recommendations

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/21550

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DC Field	Value	Language
dc.contributor.advisor	Sinha, Ankur
dc.contributor.author	Gupta, Akash
dc.contributor.author	Prakash, Shashi
dc.date.accessioned	2019-04-17T00:54:40Z
dc.date.available	2019-04-17T00:54:40Z
dc.date.issued	2016
dc.identifier.uri	http://hdl.handle.net/11718/21550
dc.description.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.	en_US
dc.publisher	Indian Institute of Management Ahmedabad	en_US
dc.relation.ispartofseries	SP_2248;
dc.subject	Indian judicial system	en_US
dc.title	A semantic review on the current cases in the Indian judicial system and recommendations	en_US
dc.type	Student Project	en_US
Appears in Collections:	Student Projects

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