Work

Covid-19 Public Sentiment Analysis for Indian Tweets Classification

Year: 2023

Type: preprint

Abstract: When any extraordinary event takes place in the world wide area, it is the social media that acts as the fastest carrier of the news along with the consequences dealt with that event. One can gather much information through social networks regarding the sentiments, behavior, and opinions of the people. In this paper, we focus mainly on sentiment analysis of twitter data of India which comprises of COVID-19 tweets. We show how Twitter data has been extracted and then run sentimental analysis queries on it. This is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous, and are either positive or negative or neutral in some cases.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2308.06241

Authors: Akhter, Mohammad Maksood, Kanojia, Devpriya

Institution: Indian Institute of Information Technology Design and Manufacturing Jabalpur

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4385825744

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