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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Faculty Publications</text>
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    <name>Conference Paper</name>
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          <name>Creator</name>
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              <text>Pandey, Madhu; Rastogi, Kritika; Bharti; Srivastava, Akancha; Farooqui, Nafees Akhter; Khan, Ahmad Neyaz</text>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>The analytical study of public sentiments about nCovid-19 using twitter comments</text>
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          <name>Date</name>
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              <text>01-01-2026</text>
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          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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            <elementText elementTextId="254256">
              <text>AIP Conference Proceedings;Volume;3375;Issue;1;Article No.;70005;</text>
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          <name>Identifier</name>
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              <text>&lt;a href="https://doi.org/10.1063/5.0329112" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0329112&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105038991850?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105038991850?origin=resultslist&lt;/a&gt;</text>
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              <text>Pandey M., Department of Applied Psychology, Amity institute of Behavioral and Allied Sciences, Amity University, Lucknow Campus, Lucknow, UP, India; Rastogi K., School of Humanities &amp;amp; Social Sciences, CHRIST (Deemed to be University), Delhi, India; Bharti, Department of Computer Application, Chandigarh Group of Colleges, Jhanjheri, Mohali, India; Srivastava A., Jindal School of Psychology and Counselling, O. P. Jindal Global University, Haryana, Sonipat, India; Farooqui N.A., Department of Computer Science &amp;amp; Engineering, Koneru Lakshmaiah Education Foundation, Vaddeshwaram, AP, Guntur, India; Khan A.N., Department of Computer Science &amp;amp; Engineering, UESTC, Sichuan, Chengdu, China</text>
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              <text>People's sentiments are the mirror of their cognition, and these sentiments play a very significant role in predicting and shaping one's behaviour. At present the entire world is fighting with this pandemic situation due to the nCOVID-19 outbreak and people are experiencing a variety of sentiments. This research aims to explore various sentiments that people are experiencing during this epidemic. To achieve this objective sentiment analysis was conducted on 30,000 random Twitter comments using R software. Data mining of data was done using three hashtags: #Coronavirus, #Covid19 and #Covid19India. After the analysis, it was found that the nature of people's sentiments about nCOVID-19 is majorly positive. This study also elicits other noticeable patterns of netizen's expression through their comments while combating nCOVID-19. The present research provides insight into the type of sentiments which people are undergoing across the world during this pandemic situation and based on the obtained data, risk prediction can be done, and various awareness programmes can be designed to overcome the present issue which is prevailing worldwide.   2026 Author(s).</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Coronavirus; NCOVID-19; Risk prediction; Sentiment analysis; Sentiments; Twitter</text>
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          <name>Publisher</name>
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              <text>American Institute of Physics</text>
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              <text>ISSN: 0094243X; ISBN: 978-073545360-9;</text>
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              <text>English</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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              <text>online</text>
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