Legal Document Search Engine

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/13427

Full metadata record

DC Field	Value	Language
dc.contributor.author	Tanveer, Muhammad Suleman	-
dc.date.accessioned	2020-02-17T10:08:06Z	-
dc.date.available	2020-02-17T10:08:06Z	-
dc.date.issued	2017	-
dc.identifier.uri	http://hdl.handle.net/123456789/13427	-
dc.description.abstract	Legal Document Search Engine is a web based application that enables user to search legal documents. Legal documents include court decisions, constitution and legislation. User will provide a query and against that a query a list of ranked documents will be displayed to the user. Two different ranked retrieval models are used to develop this search engine that are: tf-IDF and BM25. After implementing both ranked retrieval models the system is evaluated against a query set. Both models are evaluated against a same query set and then result are compared in order to find the best ranked retrieval model for this system. For persuasion of the user a dynamic word cloud has been made which is regenerated in response to every query along with auto-correction and suggestions for the given words.	en_US
dc.language.iso	en	en_US
dc.publisher	Quaid-i-Azam University Islamabad	en_US
dc.subject	Computer Sciences	en_US
dc.title	Legal Document Search Engine	en_US
dc.type	Thesis	en_US
Appears in Collections:	BS

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File	Description	Size	Format
COM 2264.pdf	COM 2264	2.97 MB	Adobe PDF	View/Open