News article named entity recognition and analytics

Text analytics have been essential in today’s data driven world. Search engines such as Elasticsearch are widely used to retrieve documents based on user queries that would otherwise be impossible for a human to manually sift through and retrieve. NER models classify important phrases in a paragr...

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Main Author: Goh, Nicholas
Other Authors: Sun Aixin
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/163114
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1631142022-11-24T01:44:50Z News article named entity recognition and analytics Goh, Nicholas Sun Aixin School of Computer Science and Engineering AXSun@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Text analytics have been essential in today’s data driven world. Search engines such as Elasticsearch are widely used to retrieve documents based on user queries that would otherwise be impossible for a human to manually sift through and retrieve. NER models classify important phrases in a paragraph of text. Feature vectors can be extracted from NER models to compare similarity between different texts. However, there has been little work where these 3 tools have been used together. Bachelor of Science in Data Science and Artificial Intelligence 2022-11-24T01:44:50Z 2022-11-24T01:44:50Z 2022 Final Year Project (FYP) Goh, N. (2022). News article named entity recognition and analytics. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163114 https://hdl.handle.net/10356/163114 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Goh, Nicholas
News article named entity recognition and analytics
description Text analytics have been essential in today’s data driven world. Search engines such as Elasticsearch are widely used to retrieve documents based on user queries that would otherwise be impossible for a human to manually sift through and retrieve. NER models classify important phrases in a paragraph of text. Feature vectors can be extracted from NER models to compare similarity between different texts. However, there has been little work where these 3 tools have been used together.
author2 Sun Aixin
author_facet Sun Aixin
Goh, Nicholas
format Final Year Project
author Goh, Nicholas
author_sort Goh, Nicholas
title News article named entity recognition and analytics
title_short News article named entity recognition and analytics
title_full News article named entity recognition and analytics
title_fullStr News article named entity recognition and analytics
title_full_unstemmed News article named entity recognition and analytics
title_sort news article named entity recognition and analytics
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/163114
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