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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/163114 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-163114 |
---|---|
record_format |
dspace |
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 |
_version_ |
1751548583309475840 |