DSpace Repository

Meaningful Data Retrieval of Legal Cases

Show simple item record

dc.contributor.author Amna Ilyas, 01-243172-003
dc.date.accessioned 2022-01-17T09:32:08Z
dc.date.available 2022-01-17T09:32:08Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/123456789/11634
dc.description Supervised by Dr. Muhammad Asfan e yar en_US
dc.description.abstract TO seek the knowledge and information about any topic and field user need an automated process. Prior cases chosen in courts of law are essential legal materials in both common and gracious law frameworks. With the rapid growth of digitized lawful reports, it takes extraordinary reports of legitimate professionals to look for relevant cases. For this purpose in legal cases lawyer need to overview all existing case to examine a new case. In this era life is so fast inventor hardly get time to read all cases.Our focus in this study is to provide a single platform for lawyer to find similar case by one click [1] The solution toward this problem is to find similarities between new and existing cases accurately .A lot of work already done in the field of finding similarities between text document. We will try to find similarities through traditional method and Bidirectional LSTM.In this study custom data set is used which consist of two types human right and copyright. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences BUIC en_US
dc.relation.ispartofseries MS (CS);T-9664
dc.subject Computer Science en_US
dc.subject Legal Cases en_US
dc.subject Meaningful Data Retrieval en_US
dc.title Meaningful Data Retrieval of Legal Cases en_US
dc.type MS Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account