Your browser doesn't support javascript.
Name Entity Recognition on Covid-19 Dataset using Machine Learning algorithms
1st International Conference on Machine Learning, Computer Systems and Security, MLCSS 2022 ; : 301-306, 2022.
Article in English | Scopus | ID: covidwho-2294226
ABSTRACT
The COVID-19 pandemic has been accompanied by such an explosive increase in media coverage and scientific publications that researchers find it difficult to keep up. So we are working on COVID-19 dataset on Omicron variant to recognise the name entity from a given text. We collect the COVID related data from newspaper or from tweets. This article covered the name entity like COVID variant name, organization name and location name, vaccine name. It include tokenisation, POS tagging, Chunking, levelling, editing and for run the program. It will help us to recognise the name entity like where the COVID spread (location) most, which variant spread most (variant name), which vaccine has been given (vaccine name) from huge dataset. In this work, we have identified the names. If we assume unemployment, economic downfall, death, recovery, depression, as a topic we can identify the topic names also, and in which phase it occurred. © 2022 IEEE.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 1st International Conference on Machine Learning, Computer Systems and Security, MLCSS 2022 Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 1st International Conference on Machine Learning, Computer Systems and Security, MLCSS 2022 Year: 2022 Document Type: Article