Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/13427
Title: | Legal Document Search Engine |
Authors: | Tanveer, Muhammad Suleman |
Keywords: | Computer Sciences |
Issue Date: | 2017 |
Publisher: | Quaid-i-Azam University Islamabad |
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. |
URI: | http://hdl.handle.net/123456789/13427 |
Appears in Collections: | BS |
Files in This Item:
File | Description | Size | Format | |
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COM 2264.pdf | COM 2264 | 2.97 MB | Adobe PDF | View/Open |
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