Research Publications
Research Publications
[2022] Anoop, V. S., Asharaf, S., Goldston, J., & Williams, S. (Eds.). Blockchain for Industry 4.0: Emergence, Challenges, and Opportunities. CRC Press, Taylor & Francis.
[2025] Anoop, V. S., Suhasini Verma, & Usharani Hareesh Govindarajan (Eds.). Advances in Artificial Intelligence for Healthcare Applications. CRC Press, Taylor and Francis
[2025] Anoop, V. S., Denil Tom Jaison (2024). Towards Developing a Voice-enabled Document Question Answering System using Large Language Model with Retrieval Augmented Generation. Large Language Models and AI: Challenges and Innovations, CRC Press, Taylor and Francis (Accepted for Publication)
[2025] P. N. Meena, P. R. Visakh, R. K. Sreejith, Anoop, V. S., (2024). Natural Language Processing and Social Media for Mental Health and Well-being: Progress and Challenges. Generative AI Revolution: Transforming Healthcare and Life Sciences towards Sustainable Development in Industry 6.0, Springer (Accepted for Publication)
[2024] Anoop, V. S., & Mohammed Fawaz J. Fine-tuning a Domain-specific Large Language Model using Low-Rank Adaptation Technique for Legal AI Applications. Artificial Intelligence in Legal Systems: Bridging Law and Technology through AI, CRC Press-Routledge, Taylor & Francis
[2024] Rafeek R., Anoop, V. S., & Zahid Akthar. FaceTrack: A Face Recognition-based Real-time Attendance Marking Approach using Haar Cascade and Machine Learning. Artificial Intelligence and Optimization Techniques for Smart Information System Generations, CRC Press, Taylor and Francis
[2024] Anoop, V. S., & K. R. Ardra. OralMedIE: Fine-tuning Biomedical Language Model for Clinical Information Extraction for Oral Medicine and Radiology. Advances in Artificial Intelligence for Healthcare Applications, CRC Press, Taylor and Francis
[2024] Anoop, V. S., P. N. Meena. Natural Language Processing and Social Media for Mental Health and Well-being: Progress and Challenges. NLP for Business and Organizations: Research and Innovations. CRC Press, Taylor & Francis (Accepted)
[2024] Rajeevan M. S., Anoop, V. S., Narayana D. The Global Trends and Hotspots of Medical Internet of Things Research - A Bibliometric Analysis During 2004 to 2023. Navigating Cyber-Physical Systems With Cutting-Edge Technologies, IGI Global
[2024] Usharani Hareesh Govindarajan & Anoop, V. S. Immersive and Lifelong Learning Experiences in Metaverse and Web 3.0. Exploring the Metaverse: Challenges and Applications, Elsevier
[2024] Anoop, V. S. (2024). Analyzing Public Concerns on Mpox Using Natural Language Processing and Text Mining Approaches. In Intersection of AI and Business Intelligence in Data-Driven Decision-Making (pp. 309-330). IGI Global.
[2023] Sreelakshmi, S., & Anoop, V. S. Cognitive Computing and Big Data for Digital Health: Past, Present, and the Future. In Era of Artificial Intelligence (pp. 55-66). Chapman and Hall/CRC.
[2022] Anoop, V. S., & Asharaf, S. Integrating artificial intelligence and blockchain for enabling a trusted ecosystem for healthcare sector. In Intelligent Healthcare: Infrastructure, Algorithms and Management (pp. 281-295). Singapore: Springer Nature Singapore.
[2022] Anoop, V. S., Adarsh, S., & Asharaf, S. Artificial Intelligence and the Blockchain in Smart Agriculture: Emergence, Opportunities, and Challenges. Artificial Intelligence and Smart Agriculture Technology, 43-55.
[2022] Chandran, N. V., Anoop, V. S., & Asharaf, S. A Topic Modeling-Guided Framework for Aspect-Oriented Sentiment Analysis on Social Media. In Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media (pp. 132-146). IGI Global.
[2021] Anoop, V. S. Text Mining and Natural Language Processing for Health Informatics: Recent Trends and the Way Forward. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease, 111-121.
[2021] Sreelakshmi, S., & Anoop, V. S. Prediction of Neurological Disorders Using Visual Saliency: Current Trends and Future Directions. In Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease (pp. 1-11). IGI Global.
[2021] Anoop, V. S., Chandran, N. V., & Asharaf, S. A meaning-aware information search and retrieval framework for healthcare. In Web Semantics (pp. 165-176). Academic Press.
[2016] Asharaf, S., Anoop, V. S., & Afzal, A. L. A framework for meaning aware product discovery in e-commerce. In Encyclopedia of E-Commerce Development, Implementation, and Management (pp. 1386-1398). IGI Global.
[2025] Nikhil V. C, Asharaf S., Anoop, V. S. (2025). Semantic Text Kernels: A novel framework for deep semantic analysis in textual data. Engineering Applications of Artificial Intelligence (Scopus, Q1) - Under Revision
[2025] Anoop, V. S. and Usharani Hareesh Govindarajan (2025). DeTaCh: An AI-Enabled Virtual Agent for Identifying Mental Health and Addiction Challenges of Vulnerable Individuals. Journal of Soft Computing and Data Mining (Scopus, Q2) - Under Review
[2025] Anoop, V. S., Devika N., & Moisur Rahaman (2025). Fine-tuning biomedical natural language processing models to improve malaria disease entity identification from unstructured clinical texts. Nature Scientific Reports (Scopus, Q1) - Under Review
[2025] M.S., Rajeevan, B. , Mini Devi, Anoop, V. S., Payympally, Aswin (2025). Smart Research Alerts: A Personalized Scholarly Recommender System Using Natural Language Processing and Multi-Source Aggregation. Journal of Information Science (Scopus, Q2) - Under Review
[2025] M.S., Rajeevan, B., Mini Devi, Anoop, V. S., Payympally, Aswin (2025). Research Cartographer: From Query to Knowledge via a Logical Model for Scientific Topic Exploration. International Journal on Digital Libraries (Scopus, Q2) - Under Review
[2025] MS, R., Devi, B., Anoop, V. S., & Mallikarjuna, C. (2025). Mapping of Emerging Technological Trends in Library and Information Science: A Computational Approach Using Sentiment Analysis, Topic Modeling and Network Analysis. DESIDOC Journal of Library & Information Technology, 45(4). (Scopus, Q2)
[2025] Chandran, N. V., Anoop, V. S., & Asharaf, S. Topic Weighted Kernels: Text Kernels Integrating Topic Weights and Deep Word Embeddings for Semantic Text Analytics. IEEE Access, IEEE (Scopus, Q1)
[2024] Anoop, V. S., T. K. Ajay Krishnan, Ali Daud, Ameen Banjar, Amal Bukhari. Climate Change Sentiment Analysis using Domain-Specific Bidirectional Encoder Representations from Transformers. IEEE Access, IEEE (Scopus, Q1)
[2024] Subin Krishna, C., Anoop, V. S., & Usharani Hareesh Govindarajan. Graph Embedding Approaches for Social Media Sentiment Analysis with Model Explanation. International Journal of Information Management Data Insights. Elsevier (Scopus, Q1)
[2023] Sreelakshmi, Anoop V. S., A deep neural network model for automated medical data classification, Expert Systems, Wiley (Under Revision) (Scopus, Q2)
[2023] Anoop, V. S., & Sreelakshmi, S. Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing. Public Health, 218, 114-120. (Scopus, Q1)
[2023] Chandran, N. V., Anoop, V. S., & Asharaf, S. TopicStriKer: A topic kernels-powered approach for text classification. Results in Engineering, 17, 100949. (Scopus, Q2)
[2022] Prakash, R., Anoop, V. S., & Asharaf, S. (2022). Blockchain technology for cybersecurity: A text mining literature analysis. International Journal of Information Management Data Insights, 2(2), 100112. (Scopus, Q1)
[2022] Anoop, V.S., Goldston, J. Decentralized finance to hybrid finance through blockchain: a case-study of acala and current. Journal of Banking and Financial Technologies 6, 109–115 (2022).
[2021] Jennath, H. S., Anoop, V. S., Asharaf, S., & Saji, G. ChitChain: a blockchain-based technology framework for trust enablement in decentralized chit funds. CSI Transactions on ICT, 9(4), 215-224.
[2021] Anoop, V. S., Deepak, P., & Asharaf, S. A distributional semantics-based information retrieval framework for online social networks. Intelligent Decision Technologies, 15(2), 189-199. (Scopus, Q4)
[2020] Jennath H.S., Anoop V.S, Asharaf S. Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence. International Journal of Interactive Multimedia and Artificial Intelligence (Scopus, Q2)
[2020] Rajimol, R., & Anoop, V. S. A framework for named entity recognition for Malayalam—A Comparison of different deep learning architectures. Natural Language Processing Research, 1(1-2), 14-22.
[2020] Akhil, K. K., Rajimol, R., & Anoop, V. S. Parts-of-Speech tagging for Malayalam using deep learning techniques. International Journal of Information Technology, 12, 741-748. (Scopus, Q2)
[2019] Anoop, V. S., & Asharaf, S. (2019). Conceptualized phrase clustering with distributed k-means. Intelligent Decision Technologies, 13(2), 153-160. (Scopus, Q4)
[2018] Anoop, V. S., & Asharaf, S. Aspect-oriented sentiment analysis: a topic modeling-powered approach. Journal of Intelligent Systems, 29(1), 1166-1178. (Scopus, Q2)
[2017] Anoop V. S., Asharaf S. A Topic Modeling Guided Approach for Semantic Knowledge Discovery in e-Commerce. International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) (Scopus, Q2)
[2017] Anoop, V. S., & Asharaf, S. Extracting conceptual relationships and inducing concept lattices from unstructured text. Journal of Intelligent Systems, 28(4), 669-681. (Scopus, Q2)
[2015] Anoop V.S, Asharaf S. PICGraph : An Extension of Power Iteration Clustering for Inferring Conceptual Relationships from Large Unstructured Datasets. International Journal of Computer Applications (IJCA)
[2025] S. Sreelakshmi, Anoop, V. S. (2025). CrackPPT- Pyramid Pooling Transformer for Autonomous Pavement Crack Detection. 11th International Conference on Pattern Recognition and Machine Intelligence at IIT Delhi in collaboration with Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India (LNCS Springer, Scopus, Q2) (Under Revision)
[2023] Chandran, N. V., Anoop, V. S. & Asharaf, S., (2023). Textual semantics analysis using string kernels-based spectral clustering with incremental hierarchical topic clustering. 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), Springer
[2023] N. Devika, Anoop, V. S., and T. Jose. Biomedical Named Entity Recognition from Malaria Literature using BioBERT. 9th International Conference on Smart Computing and Communication. IEEE
[2023] C. Subin & Anoop, V. S. Figurative Health-mention Classification from Social Media using Graph Convolutional Networks. 9th International Conference on Smart Computing and Communication. IEEE
[2023] K. R. Ardra, Anoop, V. S., & P. Prashanth. OralMedNER: A Named Entity Recognition System for Oral Medicine and Radiology. 9th International Conference on Smart Computing and Communication. IEEE
[2023] Anoop, V. S., Thekkiniath, J., & Govindarajan, U. H. We Chased COVID-19; Did We Forget Measles?-Public Discourse and Sentiment Analysis on Spiking Measles Cases Using Natural Language Processing. In International Conference on Multi-disciplinary Trends in Artificial Intelligence (pp. 147-158). Cham: Springer Nature Switzerland.
[2023] Visakh, P. R., Meena, P. N., & Anoop, V. S. Conversational Artificial Intelligence in Digital Healthcare: A Bibliometric Analysis. In International Conference on Multi-disciplinary Trends in Artificial Intelligence (pp. 723-734). Cham: Springer Nature Switzerland.
[2023] Anoop V. S. "Sentiment classification of Diabetes-related tweets using transformer-based deep learning approach", The 7th International Conference on Advances in Computing and Data Sciences, Springer CCIS
[2023] Anoop V. S. "ChatGPT, do my homework" – Will ChatGPT be an integrity threat to educational ethics? An analysis, 8th International Conference on Computing Communication and Security, CCIS, Springer.
[2023] John, R., Anoop, V. S., & Asharaf, S. Health mention classification from user-generated reviews using machine learning techniques. In Proceedings of International Conference on Information Technology and Applications: ICITA 2022 (pp. 175-188). Singapore: Springer Nature Singapore.
[2023] Jickson, S., Anoop, V. S., & Asharaf, S. Machine learning approaches for detecting signs of depression from social media. In Proceedings of International Conference on Information Technology and Applications: ICITA 2022 (pp. 201-214). Singapore: Springer Nature Singapore.
[2022] Adarsh, S., Anoop, V. S., & Asharaf, S. Distributed Consensus Mechanism with Novelty Classification Using Proof of Immune Algorithm. In International Conference on Innovative Computing and Communications: Proceedings of ICICC 2022, Volume 2 (pp. 173-183). Singapore: Springer Nature Singapore.
[2022] Chandran, N. V., Asharaf, S., & Anoop, V. S. String Kernels for Document Classification: A Comparative Study. In 2022 International Conference on Innovative Trends in Information Technology (ICITIIT) (pp. 1-6). IEEE.
[2022] Adarsh, S., Asharaf, S., & Anoop, V. S. Sentence-Level Document Novelty Detection Using Latent Dirichlet Allocation with Auto-Encoders. In International Conference on Innovative Computing and Communications: Proceedings of ICICC 2021, Volume 3 (pp. 511-519). Springer Singapore.
[2021] Anoop V. S. Blockchain for Sustainable and Resilient Agricultural Supply Chain 11th International Conference on Ecological Informatics (ICEI 2020+1)
[2021] Lekshmi, S., & Anoop, V. S. Sentiment analysis on COVID-19 news videos using machine learning techniques. In Proceedings of International Conference on Frontiers in Computing and Systems: COMSYS 2021 (pp. 551-560). Singapore: Springer Nature Singapore.
[2021] Varghese, M., & Anoop, V. S. Deep learning-based sentiment analysis on COVID-19 News Videos. In Proceedings of International Conference on Information Technology and Applications: ICITA 2021 (pp. 229-238). Singapore: Springer Nature Singapore.
[2018] Jennath, H. S., Adarsh, S., & Anoop, V. S. Distributed IoT and applications: a survey. Integrated Intelligent Computing, Communication and Security, 333-341.
[2017] Anoop, V. S., & Asharaf, S. Distributional Semantic Phrase Clustering and Conceptualization Using Probabilistic Knowledgebase. In Smart and Innovative Trends in Next Generation Computing Technologies: Third International Conference, NGCT 2017, Dehradun, India, October 30-31, 2017, Revised Selected Papers, Part I 3 (pp. 526-534). Springer Singapore.
[2017] Anoop, V. S., Asharaf, S., & Deepak, P. Topic modeling for unsupervised concept extraction and document ranking. In Intelligent Systems Technologies and Applications (pp. 123-135). Springer International Publishing.
[2016] Anoop V.S, Asharaf S, Deepak P. Learning Concept Hierarchies through Probabilistic Topic Modeling. International Journal of Information Processing (IJIP).
[2016] Anoop V.S, Asharaf S, Deepak Padmanabhan. Unsupervised Concept Hierarchy Learning : A Topic Modeling Guided Approach. 12th International Conference on Data Mining and Warehousing (ICDMW - 2016) - Procedia Computer Science, Elsevier.
[2015] Anoop, V. S., Asharaf, S., & Alessandro, Z. Generating and visualizing topic hierarchies from microblogs: An iterative latent dirichlet allocation approach. In 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 824-828). IEEE.
[2015] Anoop V.S, Lekshmi B.G. PICGraph: An Extension of Power Iteration Clustering for Inferring Conceptual Relationships from Large Unstructured Datasets. Second International Conference on Emerging Trends in Technology and Applied Sciences (ICETTAS-2015)
[2015] Anoop V.S, Prem Sankar C, Zonin Alessandro. A Social Network Visualization on How ‘MakeInIndia’ Made Vibes Among Various Sectors – A Topic Modeling Based Approach. In Proceedings of National Conference on Foresight and Technology Futures (NCFTF-2015)
[2014] Anoop V.S, Asharaf S. A Novel Technique for Fast Similarity Queries on Unstructured Data. International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS – 2014)
[2024] R Rafeek, B C Athul Raj, Baby Sherin, Anoop V. S. (2024). "Vehicle Number Plate Identification for Automated Entry and Exit Tracking using Convolutional Neural Network and YoLo V8. TechRxiv preprint
[2024] Nair, A. B., Jaison, D. T., & Anoop, V. S. (2024). "Hey..! This medicine made me sick": Sentiment Analysis of User-Generated Drug Reviews using Machine Learning Techniques. arXiv preprint arXiv:2404.13057.
[2024] Sibinraj V. M., Fiza Gafoor, Anandhu P. K., & Anoop, V. S. Automated Malaria Cell Image Classification Using Convolutional Neural Networks. TechRxiv preprint (10.36227/techrxiv.171744390.01569902/v1)
[2023] Sujan, A. S., Benny, A., & Anoop, V. S. MalFake: A Multimodal Fake News Identification for Malayalam using Recurrent Neural Networks and VGG-16. arXiv preprint arXiv:2310.18263.
[2023] Hamza, H., Gafoor, F., Sithara, F., Anil, G., & Anoop, V. S. EmoDiarize: Speaker Diarization and Emotion Identification from Speech Signals using Convolutional Neural Networks. arXiv preprint arXiv:2310.12851.
[2023] Ajay Krishnan, & Anoop, V. S. ClimateNLP: Analyzing Public Sentiment Towards Climate Change Using Natural Language Processing. arXiv preprint arXiv:2310.08099.
[2023] Sharaf, S., & Anoop, V. S. An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT. arXiv preprint arXiv:2310.07282.