News article named entity recognition and analytics

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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Bibliographic Details
Main Author: Goh, Nicholas
Other Authors: Sun Aixin
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/163114
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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