Automatic summarization of documents

Automatic Knowledge Extraction system from unstructured Open Source data (AKEOS) is an artificial intelligent system utilizing machine learning techniques to help users summarize the knowledge and generate the relationships among the important entities to their queries. AKEOS is realized in forms of...

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Main Author: Min, Lingduo
Other Authors: Mao Kezhi
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/64556
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-645562023-07-07T16:37:30Z Automatic summarization of documents Min, Lingduo Mao Kezhi School of Electrical and Electronic Engineering Ministry of Defence Singapore Centre for Computational Intelligence DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Automatic Knowledge Extraction system from unstructured Open Source data (AKEOS) is an artificial intelligent system utilizing machine learning techniques to help users summarize the knowledge and generate the relationships among the important entities to their queries. AKEOS is realized in forms of web application on Python Web framework Django. The web application executes user’s query by analyzing the data crawled from Google searched results, with the help of the implemented text-miming algorithm, hence summarizes the knowledge and constructs the relevant relationships between entities automatically. In the end, the system renders the entity relationships to user intuitively in terms of a diagram with captions. The AKEOS system is composed of six parts: URL Crawler, Sentence Extraction, Feature Words Generation, Relevant Sentence Selection, Entity Extraction and Knowledge Graph Generation. The individual parts works in tandem and eventually generate the graph based on the computed data. Bachelor of Engineering 2015-05-28T04:20:04Z 2015-05-28T04:20:04Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/64556 en Nanyang Technological University 65 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Min, Lingduo
Automatic summarization of documents
description Automatic Knowledge Extraction system from unstructured Open Source data (AKEOS) is an artificial intelligent system utilizing machine learning techniques to help users summarize the knowledge and generate the relationships among the important entities to their queries. AKEOS is realized in forms of web application on Python Web framework Django. The web application executes user’s query by analyzing the data crawled from Google searched results, with the help of the implemented text-miming algorithm, hence summarizes the knowledge and constructs the relevant relationships between entities automatically. In the end, the system renders the entity relationships to user intuitively in terms of a diagram with captions. The AKEOS system is composed of six parts: URL Crawler, Sentence Extraction, Feature Words Generation, Relevant Sentence Selection, Entity Extraction and Knowledge Graph Generation. The individual parts works in tandem and eventually generate the graph based on the computed data.
author2 Mao Kezhi
author_facet Mao Kezhi
Min, Lingduo
format Final Year Project
author Min, Lingduo
author_sort Min, Lingduo
title Automatic summarization of documents
title_short Automatic summarization of documents
title_full Automatic summarization of documents
title_fullStr Automatic summarization of documents
title_full_unstemmed Automatic summarization of documents
title_sort automatic summarization of documents
publishDate 2015
url http://hdl.handle.net/10356/64556
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