Cargando…

Twitter based sentimental analysis of Covid-19 observations

The emergence of social media has provided people with the opportunity to express their feelings and thoughts about everything and everything in their lives. There is a massive amount of textual stuff available, and approaches are required to make meaningful use of the information provided by isolat...

Descripción completa

Detalles Bibliográficos
Autores principales: Vijayaraj, A., Bhavana, K., SreeDurga, S., Lokesh Naik, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113960/
https://www.ncbi.nlm.nih.gov/pubmed/35602304
http://dx.doi.org/10.1016/j.matpr.2022.05.194
_version_ 1784709678440120320
author Vijayaraj, A.
Bhavana, K.
SreeDurga, S.
Lokesh Naik, S.
author_facet Vijayaraj, A.
Bhavana, K.
SreeDurga, S.
Lokesh Naik, S.
author_sort Vijayaraj, A.
collection PubMed
description The emergence of social media has provided people with the opportunity to express their feelings and thoughts about everything and everything in their lives. There is a massive amount of textual stuff available, and approaches are required to make meaningful use of the information provided by isolating and evaluating the different types of text. Sentimental Analysis is a method of obtaining a human being's point of view through mining his or her emotions. The entire world is sharing their thoughts on social media on the Corona Pandemic that is now underway. This research presents an analysis of attitudes in order to determine whether or not people are optimistic in the face of a difficult circumstance. The technique of polarity is employed by the paper in order to determine if an opinion is positive, negative, or nonpartisan [1]. In order to determine the polarity, the following three major keywords are used: “COVID”, “Corona virus,” and “COVID-19.”
format Online
Article
Text
id pubmed-9113960
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-91139602022-05-18 Twitter based sentimental analysis of Covid-19 observations Vijayaraj, A. Bhavana, K. SreeDurga, S. Lokesh Naik, S. Mater Today Proc Article The emergence of social media has provided people with the opportunity to express their feelings and thoughts about everything and everything in their lives. There is a massive amount of textual stuff available, and approaches are required to make meaningful use of the information provided by isolating and evaluating the different types of text. Sentimental Analysis is a method of obtaining a human being's point of view through mining his or her emotions. The entire world is sharing their thoughts on social media on the Corona Pandemic that is now underway. This research presents an analysis of attitudes in order to determine whether or not people are optimistic in the face of a difficult circumstance. The technique of polarity is employed by the paper in order to determine if an opinion is positive, negative, or nonpartisan [1]. In order to determine the polarity, the following three major keywords are used: “COVID”, “Corona virus,” and “COVID-19.” Elsevier Ltd. 2022 2022-05-18 /pmc/articles/PMC9113960/ /pubmed/35602304 http://dx.doi.org/10.1016/j.matpr.2022.05.194 Text en Copyright © 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advanced Materials for Innovation and Sustainability. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Vijayaraj, A.
Bhavana, K.
SreeDurga, S.
Lokesh Naik, S.
Twitter based sentimental analysis of Covid-19 observations
title Twitter based sentimental analysis of Covid-19 observations
title_full Twitter based sentimental analysis of Covid-19 observations
title_fullStr Twitter based sentimental analysis of Covid-19 observations
title_full_unstemmed Twitter based sentimental analysis of Covid-19 observations
title_short Twitter based sentimental analysis of Covid-19 observations
title_sort twitter based sentimental analysis of covid-19 observations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113960/
https://www.ncbi.nlm.nih.gov/pubmed/35602304
http://dx.doi.org/10.1016/j.matpr.2022.05.194
work_keys_str_mv AT vijayaraja twitterbasedsentimentalanalysisofcovid19observations
AT bhavanak twitterbasedsentimentalanalysisofcovid19observations
AT sreedurgas twitterbasedsentimentalanalysisofcovid19observations
AT lokeshnaiks twitterbasedsentimentalanalysisofcovid19observations