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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Sentiment Analysis in Disease Outbreak Prediction: Harnessing Social Media for Early Detection |
| Authors Name: | Rahul Prasad , Vishal , Siddharth Tyagi , Prabhneet Singh |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_208434
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| Published Paper Id: | IJNRD2311090 |
| Published In: | Volume 8 Issue 11, November-2023 |
| DOI: | |
| Abstract: | In recent years, the convergence of sentiment analysis and epidemiology has unveiled a promising frontier in disease surveillance, leveraging the immense data reservoirs of social media. This review paper encapsulates a comprehensive synthesis of 30 seminal works, illuminating the pivotal role of sentiment analysis in delineating public sentiment and opinions during epidemic outbreaks. The framework for a deeper understanding is laid from the evolutionary trajectory of epidemic nomenclature over two and a half millennia to the fundamental principles of epidemiology. The study thoroughly compares the efficacy of various sentiment analysis algorithms and approaches. It also looks at how sentiment analysis can be used to extract significant information from Twitter, illuminate public dialogue during outbreaks, and ultimately aid in real-time epidemic tracking. The incorporation of sentiment analysis into public health policy is also examined, emphasizing the revolutionary potential of sentiment analysis in bolstering decision-making frameworks. The review concludes by imagining future opportunities and difficulties, guiding the discussion toward an educated synergy of sentiment analysis and epidemiology. |
| Keywords: | Sentiment Analysis, Epidemiology, Disease Surveillance, Social Media Data, Public Sentiment, Epidemic Outbreaks, Sentiment Analysis Algorithms, Public Dialogue, Real-time Tracking, Public Health Policy, Future Opportunities, Challenges, Synergy, Information Extraction, Twitter Data. |
| Cite Article: | "Sentiment Analysis in Disease Outbreak Prediction: Harnessing Social Media for Early Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.a814-a818, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311090.pdf |
| Downloads: | 000118765 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2311090 Registration ID: 208434 Published In: Volume 8 Issue 11, November-2023 DOI (Digital Object Identifier): Page No: a814-a818 Country: Moahli, Punjab, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2311090 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2311090 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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