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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
Public Relationships using NLP and Machine Learning
Authors
DR. S. SENTHIL KUMAR, K. TARUN, K. SAI ANANTH,, A. SUBRAMANYAM,, D. MEGHANA
Keywords
1. Technology 2. Online reviews 3. Sentiment analysis 4. Natural Language Processing (NLP) 5. Machine learning 6. Logistic Regression 7. Naive Bayes 8. Product quality 9. User input 10. Model creation 11. Intent interpretation 12. Tokenization 13. Word removal 14. Feature removal 15. Negative impact 16. Classifier training 17. Effectiveness 18. Product identification 19. Business insight 20. Public opinion
Abstract
In today's world where we continue to use technology, online reviews influence the way people view products and services. The project dives deep into sentiment analysis, using natural language processing (NLP) and machine learning tools like logistic regression and Naive Bayes to predict product quality based on user input. composition. The project creates a powerful model that can interpret the intent expressed in the message through processes such as tokenization, word removal, and feature removal. The project aims to determine whether comments have a negative impact by training logistic regression and Naive Bayes classifiers on processed data. The findings highlight the effectiveness of using NLP methods to identify products and provide insight for businesses looking to better understand public opinion.
IJCRT's Publication Details
Unique Identification Number - IJCRT2405210
Paper ID - 258855
Page Number(s) - b910-b914
Pubished in - Volume 12 | Issue 5 | May 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
DR. S. SENTHIL KUMAR, K. TARUN, K. SAI ANANTH,, A. SUBRAMANYAM,, D. MEGHANA, "Public Relationships using NLP and Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.b910-b914, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405210.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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