Dr. Anoop V. S.

About

Dr. Anoop has completed his Doctor of Philosophy (PhD) and Master of Philosophy (MPhil) from the Cochin University of Science and Technology at the Indian Institute of Information Technology and Management - Kerala (IIITM-K). He has also completed his Postdoctoral Research at Smith School of Business at Queen's University, Canada. Currently, he is working as Assistant Professor (Senior Grade) at Amrita School of Business, Amrita Vishwa Vidyapeetam, Kochi, India. He has a mix of experience in research, teaching, and industry and worked in several roles such as Data Scientist, Visiting Faculty, Research Scientist, and Assistant Professor. In his previous role, he worked as a Senior Scientist at Kerala Blockchain Academy, a Center of Excellence under the Kerala University of Digital Sciences, Innovation and Technology. He has also worked with organizations such as Dubai Future Accelerator, Etisalat Digital, and Etihad Airways. He has completed many industry internships in Artificial Intelligence and implemented text mining algorithms to solve complex business problems. Anoop's primary research interests are in Applied Text Mining, Natural Language Processing, and Information Retrieval. He has several publications, including edited books, book chapters, articles in international journals, and conference proceedings.

Employment

• Amrita School of Business Assistant Professor (Sr. Gr.)
  2025 - Present
• Kerala University of Digital Sciences, Innovation and Technology Research Officer
  2022 - Present
• Smith School of Business at Queen's University Postdoctoral Fellow
  2022 - Present
• Rajagiri College of Social Sciences Assistant Professor
  2020 - 2021
• Kerala Blockchain Academy Senior Scientist & Training Head
  2008 - 2020

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Sentiment Analysis on COVID-19 News Videos Using Machine Learning Techniques
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-0105-8_54
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• Deep Learning-Based Sentiment Analysis on COVID-19 News Videos
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-981-16-7618-5_20
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• String Kernels for Document Classification: A Comparative Study
  2022 International Conference on Innovative Trends in Information Technology, ICITIIT 2022 2022 DOI: 10.1109/ICITIIT54346.2022.9744134
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• A distributional semantics-based information retrieval framework for online social networks
  Intelligent Decision Technologies 2021 DOI: 10.3233/IDT-200001
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• A meaning-aware information search and retrieval framework for healthcare
  Web Semantics: Cutting Edge and Future Directions in Healthcare 2021 DOI: 10.1016/B978-0-12-822468-7.00003-1
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• Extracting conceptual relationships and inducing concept lattices from unstructured text
  Journal of Intelligent Systems 2021 DOI: 10.1515/jisys-2017-0225
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• Aspect-oriented sentiment analysis: A topic modeling-powered approach
  Journal of Intelligent Systems 2020 DOI: 10.1515/jisys-2018-0299
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• Parts-of-Speech tagging for Malayalam using deep learning techniques
  International Journal of Information Technology (Singapore) 2020 DOI: 10.1007/s41870-020-00491-z
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• Conceptualized phrase clustering with distributed k -means
  Intelligent Decision Technologies 2019 DOI: 10.3233/IDT-180089
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• Distributed IoT and applications: A survey
  Studies in Computational Intelligence 2019 DOI: 10.1007/978-981-10-8797-4_35
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• Distributional semantic phrase clustering and conceptualization using probabilistic knowledgebase
  Communications in Computer and Information Science 2018 DOI: 10.1007/978-981-10-8657-1_39
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• Topic modeling for unsupervised concept extraction and document ranking
  V. S. Anoop, S. Asharaf, P Deepak
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-3-319-68385-0_11
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• Unsupervised Concept Hierarchy Learning: A Topic Modeling Guided Approach
  Procedia Computer Science 2016 DOI: 10.1016/j.procs.2016.06.086
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• Generating and visualizing topic hierarchies from microblogs: An iterative latent dirichlet allocation approach
  2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 2015 DOI: 10.1109/ICACCI.2015.7275712
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