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Anjali Dadhich
Dr. Anjali DadhichAssistant Professor

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A passionate academician with over 9 years of experience and expertise in Data Mining, Natural Language Processing (NLP), and Computer Applications. Holds a Ph.D. in Computer Applications and is actively engaged in teaching, research, and academic mentoring. Her research contributions include publications in reputed SCI, ESCI, and Scopus-indexed journals, along with papers presented at leading international conferences published by Springer and IEEE.

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MCA,Ph.D

  • Data mining, Big Data,IOT,Web Technology,Java,Python,NLP,Cloud computing
  • Presented a research paper entitled “A Blockchain based application system for fake product detection,”6thInternational Conference on Emerging Trends in Engineering and Technology (NCETET 2024) Conference ISBN 978-93-91535-89-6, 5-April 2024. (Proceeding in UGC Care Journal).
  • Presented a research paper entitled “Literature Review on Fake Product Detection Using Block chain” in the International Conference on Transformational Digital Technologies,”6thInternational Conference on on Emerging Trends in Engineering and Technology Conference, Feb 3, 2024.(Published in souvenir) .
  • Presented a research paper entitled “Opinion Mining Approaches on Amazon & Flipkart Product Reviews using Machine Learning Algorithms,”6thInternational Conference on CyberSecurity and Privacy in Communication Networks (ICCS-2020) (Published in Springer nature), Elsevier-SSRN, pp.1-16,27-29December2020.
  • Published a research paper entitled “Investigating the Role of Machine leaning and Blockchain for Forecasting Stock Market Trends,” J. Electrical Systems 20-2s (2024): 721-729.Scopus, SCI Index Q4.
  • Presented a research paper entitled “A Blockchain based application system for fake product detection,”6thInternational Conference on Emerging Trends in Engineering and Technology (NCETET 2024) Conference ISBN 978-93-91535-89-6, 5-April 2024. (Proceeding in UGC Care Journal).
  • Presented a research paper entitled “Literature Review on Fake Product Detection Using Block chain” in the International Conference on Transformational Digital Technologies,”6thInternational Conference on on Emerging Trends in Engineering and Technology Conference, Feb 3, 2024.(Published in souvenir) .
  • Presented a research paper entitled “Opinion Mining Approaches on Amazon & Flipkart Product Reviews using Machine Learning Algorithms,”6thInternational Conference on CyberSecurity and Privacy in Communication Networks (ICCS-2020) (Published in Springer nature), Elsevier-SSRN, pp.1-16,27-29December2020.
  • Published a research paper entitled “Opinion Classification of Product Reviews using Naïve Bayes, Logistic Regression and SentiWordNet: Challenges and Survey,” International conference on Applied Scientific Computational Intelligence using Data Science (ASCI-2020), IOP Conference Series: Material Science and Engineering, pp. 1-16, 2020.
  • Presented a research paper entitled “Sentiment Analysis of Amazon Product Reviews Using Hybrid Rule-Based Approach,” 3rd International Conference on Systems and Intelligent Computing: Innovations in Computing (SSIC-2021), Published in Smart Systems : Innovations in Computing: Proceedings of SSIC 2021 Springer, 2021.
  • Published a research paper entitled “Design of NLP Technique Fore-Customer Review,” International Journal of Recent Technology and Engineering (IJRTE), Vo. 9, Issue 3, pp. 653-655, September 2020, Scopus Indexed, WOS.
  • Published a research paper entitled “Algorithm for Efficient Opinion Summarization and Categorization (AEOSC): A Web Based Approach,” Journal of Emerging Technologies and Innovative Research (JETIR), Vol. 6, Issue 6, pp. 624-627, June 2019, UGC Approved Journal.
  • Published a research paper entitled “Auto Text Summarization & Categorization of Customer Opinions,” Proceedings of the 12th INDIACom (INDIACom-2018): IEEE 5th International Conference on “Computing for Sustainable Global Development”, Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), pp. 3233-3235, 2018, Scopus Indexed.
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