E-ISSN 0976-2833 | ISSN 0975-3583
 

Original Article 


A NOVEL CLASSIFICATION MODEL FOR FEATURE-BASED SENTIMENTAL ANALYSIS ON PUBLIC ATTENTION TOWARDS COVID-19.

Siva kumar Pathuri N. Anbazhagan N. Sriman Narayana W.Sridhar.

Abstract
Covid-19 is the word which is horrifying the world which has infringed socio-economic problems. The main purpose of this article is to build a model which predicts sentiments on Covid-19 reviews which has been taken from Coronavirus Reviews from Kaggle repository. It is originally known as Corona Virus Diseases effected in 2019 and has been declared as pandemic by WHO. With the increase in cases through out the globe people getting panic and worry about their health. Physically and mental state of the people is becoming comparatively proportional for this pandemic situation. So in this case there is a need of a classification model which is to be implemented based on various measures to protect the countries by interpreting the facts and info about this pandemic. So in this paper we performed sentimental analysis using a Novel Classifier (SADBM) named as Sentimental Data Base Miner algorithm to classify the reviews or reviews given by various people from all over the globe, and then we have validated the accuracy of the model which is compared with basic classifiers like Nave-Bayes and SVM where the Novel algorithm gave best accuracy when compared with the other 2 models i.e., 95%.
Index Terms—SADBM, Reviews, Sentimental Analysis, SVM.


 
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Pubmed Style

Siva kumar Pathuri N. Anbazhagan N. Sriman Narayana W.Sridhar. A NOVEL CLASSIFICATION MODEL FOR FEATURE-BASED SENTIMENTAL ANALYSIS ON PUBLIC ATTENTION TOWARDS COVID-19.. J Cardiovasc. Dis. Res.. 2021; 12(3): 176-187. doi:10.31838/jcdr.2021.12.03.25


Web Style

Siva kumar Pathuri N. Anbazhagan N. Sriman Narayana W.Sridhar. A NOVEL CLASSIFICATION MODEL FOR FEATURE-BASED SENTIMENTAL ANALYSIS ON PUBLIC ATTENTION TOWARDS COVID-19.. http://www.jcdronline.org/?mno=84052 [Access: May 27, 2021]. doi:10.31838/jcdr.2021.12.03.25


AMA (American Medical Association) Style

Siva kumar Pathuri N. Anbazhagan N. Sriman Narayana W.Sridhar. A NOVEL CLASSIFICATION MODEL FOR FEATURE-BASED SENTIMENTAL ANALYSIS ON PUBLIC ATTENTION TOWARDS COVID-19.. J Cardiovasc. Dis. Res.. 2021; 12(3): 176-187. doi:10.31838/jcdr.2021.12.03.25



Vancouver/ICMJE Style

Siva kumar Pathuri N. Anbazhagan N. Sriman Narayana W.Sridhar. A NOVEL CLASSIFICATION MODEL FOR FEATURE-BASED SENTIMENTAL ANALYSIS ON PUBLIC ATTENTION TOWARDS COVID-19.. J Cardiovasc. Dis. Res.. (2021), [cited May 27, 2021]; 12(3): 176-187. doi:10.31838/jcdr.2021.12.03.25



Harvard Style

Siva kumar Pathuri N. Anbazhagan N. Sriman Narayana W.Sridhar (2021) A NOVEL CLASSIFICATION MODEL FOR FEATURE-BASED SENTIMENTAL ANALYSIS ON PUBLIC ATTENTION TOWARDS COVID-19.. J Cardiovasc. Dis. Res., 12 (3), 176-187. doi:10.31838/jcdr.2021.12.03.25



Turabian Style

Siva kumar Pathuri N. Anbazhagan N. Sriman Narayana W.Sridhar. 2021. A NOVEL CLASSIFICATION MODEL FOR FEATURE-BASED SENTIMENTAL ANALYSIS ON PUBLIC ATTENTION TOWARDS COVID-19.. Journal of Cardiovascular Disease Research, 12 (3), 176-187. doi:10.31838/jcdr.2021.12.03.25



Chicago Style

Siva kumar Pathuri N. Anbazhagan N. Sriman Narayana W.Sridhar. "A NOVEL CLASSIFICATION MODEL FOR FEATURE-BASED SENTIMENTAL ANALYSIS ON PUBLIC ATTENTION TOWARDS COVID-19.." Journal of Cardiovascular Disease Research 12 (2021), 176-187. doi:10.31838/jcdr.2021.12.03.25



MLA (The Modern Language Association) Style

Siva kumar Pathuri N. Anbazhagan N. Sriman Narayana W.Sridhar. "A NOVEL CLASSIFICATION MODEL FOR FEATURE-BASED SENTIMENTAL ANALYSIS ON PUBLIC ATTENTION TOWARDS COVID-19.." Journal of Cardiovascular Disease Research 12.3 (2021), 176-187. Print. doi:10.31838/jcdr.2021.12.03.25



APA (American Psychological Association) Style

Siva kumar Pathuri N. Anbazhagan N. Sriman Narayana W.Sridhar (2021) A NOVEL CLASSIFICATION MODEL FOR FEATURE-BASED SENTIMENTAL ANALYSIS ON PUBLIC ATTENTION TOWARDS COVID-19.. Journal of Cardiovascular Disease Research, 12 (3), 176-187. doi:10.31838/jcdr.2021.12.03.25





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