ISSN 2394-5125
 

Research Article 


SOCIAL MEDIA ANALYSIS WITH AI: SENTIMENT ANALYSIS TECHNIQUES FOR THE ANALYSIS OF TWITTER COVID-19 DATA

Rijwan Khan, Piyush Shrivastava, Aashna Kapoor, Aditi Tiwari, Abhyudaya Mittal.

Abstract
Recently, In the current situation there has been an outbreak known as COVID-19 (corona virus) causing
acute respiratory syndrome, first noticed in China and now a pandemic. Social media plays a crucial role in the current
scenario of the world being locked up and further leading to the social imbalance among people. The news scattered like
leaves about people attempting suicide.
In this chapter, we aim at providing the sentiment analysis on covid-19, about the people's reaction towards the decisions
made either by the government or the local authorities through Twitter. We propose a system which automates analyzing
the tweets and categorizing them into positive, negative or neutral sets. With the utilization of automata and NLP (natural
language processing) together the accuracy, quantization and prediction of the sets can be achieved. Classification can be
whether on a pattern based or a NLTK (Natural language toolkit). The classified results are further stored in the
structures that could be iterated while calling for the visualization.

Key words: Social Media, Sentiment Analysis, Covid-19, Naive-Bayes classifier, Feature vector


 
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How to Cite this Article
Pubmed Style

Rijwan Khan, Piyush Shrivastava, Aashna Kapoor, Aditi Tiwari, Abhyudaya Mittal. SOCIAL MEDIA ANALYSIS WITH AI: SENTIMENT ANALYSIS TECHNIQUES FOR THE ANALYSIS OF TWITTER COVID-19 DATA. JCR. 2020; 7(9): 2761-2774. doi:10.31838/jcr.07.09.437


Web Style

Rijwan Khan, Piyush Shrivastava, Aashna Kapoor, Aditi Tiwari, Abhyudaya Mittal. SOCIAL MEDIA ANALYSIS WITH AI: SENTIMENT ANALYSIS TECHNIQUES FOR THE ANALYSIS OF TWITTER COVID-19 DATA. http://www.jcreview.com/?mno=126258 [Access: April 10, 2021]. doi:10.31838/jcr.07.09.437


AMA (American Medical Association) Style

Rijwan Khan, Piyush Shrivastava, Aashna Kapoor, Aditi Tiwari, Abhyudaya Mittal. SOCIAL MEDIA ANALYSIS WITH AI: SENTIMENT ANALYSIS TECHNIQUES FOR THE ANALYSIS OF TWITTER COVID-19 DATA. JCR. 2020; 7(9): 2761-2774. doi:10.31838/jcr.07.09.437



Vancouver/ICMJE Style

Rijwan Khan, Piyush Shrivastava, Aashna Kapoor, Aditi Tiwari, Abhyudaya Mittal. SOCIAL MEDIA ANALYSIS WITH AI: SENTIMENT ANALYSIS TECHNIQUES FOR THE ANALYSIS OF TWITTER COVID-19 DATA. JCR. (2020), [cited April 10, 2021]; 7(9): 2761-2774. doi:10.31838/jcr.07.09.437



Harvard Style

Rijwan Khan, Piyush Shrivastava, Aashna Kapoor, Aditi Tiwari, Abhyudaya Mittal (2020) SOCIAL MEDIA ANALYSIS WITH AI: SENTIMENT ANALYSIS TECHNIQUES FOR THE ANALYSIS OF TWITTER COVID-19 DATA. JCR, 7 (9), 2761-2774. doi:10.31838/jcr.07.09.437



Turabian Style

Rijwan Khan, Piyush Shrivastava, Aashna Kapoor, Aditi Tiwari, Abhyudaya Mittal. 2020. SOCIAL MEDIA ANALYSIS WITH AI: SENTIMENT ANALYSIS TECHNIQUES FOR THE ANALYSIS OF TWITTER COVID-19 DATA. Journal of Critical Reviews, 7 (9), 2761-2774. doi:10.31838/jcr.07.09.437



Chicago Style

Rijwan Khan, Piyush Shrivastava, Aashna Kapoor, Aditi Tiwari, Abhyudaya Mittal. "SOCIAL MEDIA ANALYSIS WITH AI: SENTIMENT ANALYSIS TECHNIQUES FOR THE ANALYSIS OF TWITTER COVID-19 DATA." Journal of Critical Reviews 7 (2020), 2761-2774. doi:10.31838/jcr.07.09.437



MLA (The Modern Language Association) Style

Rijwan Khan, Piyush Shrivastava, Aashna Kapoor, Aditi Tiwari, Abhyudaya Mittal. "SOCIAL MEDIA ANALYSIS WITH AI: SENTIMENT ANALYSIS TECHNIQUES FOR THE ANALYSIS OF TWITTER COVID-19 DATA." Journal of Critical Reviews 7.9 (2020), 2761-2774. Print. doi:10.31838/jcr.07.09.437



APA (American Psychological Association) Style

Rijwan Khan, Piyush Shrivastava, Aashna Kapoor, Aditi Tiwari, Abhyudaya Mittal (2020) SOCIAL MEDIA ANALYSIS WITH AI: SENTIMENT ANALYSIS TECHNIQUES FOR THE ANALYSIS OF TWITTER COVID-19 DATA. Journal of Critical Reviews, 7 (9), 2761-2774. doi:10.31838/jcr.07.09.437