Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163114
Title: News article named entity recognition and analytics
Authors: Goh, Nicholas
Keywords: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Goh, N. (2022). News article named entity recognition and analytics. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163114
Abstract: 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.
URI: https://hdl.handle.net/10356/163114
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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