BOOKS 

[2022] Anoop, V. S., Asharaf, S., Goldston, J., & Williams, S. (Eds.). Blockchain for Industry 4.0: Blockchain for Industry 4.0: Emergence, Challenges, and Opportunities. CRC Press, Taylor & Francis.

[2024] Anoop, V. S., Suhasini Verma, & Usharani Hareesh Govindarajan (Eds.). AI Innovations in Healthcare: Challenges and Opportunities. CRC Press, Taylor and Francis (Proposal Under Review)

BOOK CHAPTERS

[2024] Anoop, V. S. Natural Language Processing for Analyzing Public Concerns on Mpox. Intersection of AI and Business Intelligence in Data-Driven Decision-Making, IGI Global (Under Revision)

[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 (Under Revision)

[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 (Under Revision)

[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.

INTERNATIONAL JOURNALS

[2024] Anoop, V. S., P. N. Meena, P. R. Visakh, R. K. Sreejith. DeTaCh: Depression Tackling Chatbot for pre-screening of individuals with depression and addiction disorders. Computer Speech & Language. Elsevier (Under Review)

[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 (Under Review)

[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, SJR: 2.48)

[2023] Sreelakshmi, Anoop V. S., A deep neural network model for automated medical data classification, Expert Systems, Wiley (Under Revision) (Scopus, SCI, IF: 3.3, Q2, SJR: 0.61)

[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, SCI, IF: 5.2, Q1, SJR: 1.23)

[2023] Chandran, N. V., Anoop, V. S., & Asharaf, S. TopicStriKer: A topic kernels-powered approach for text classification. Results in Engineering, 17, 100949. (Scopus, ESCI, IF: 5, Q2, SJR: 0.59)

[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, SJR: 2.48)

[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, ESCI, IF: 1, Q4, SJR: 0.22)

[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, SCIE, Q2, SJR: 0.58)

[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, SJR: 0.44)

[2019] Anoop, V. S., & Asharaf, S. (2019). Conceptualized phrase clustering with distributed k-means. Intelligent Decision Technologies, 13(2), 153-160. (Scopus, ESCI, IF:1, Q4, SJR: 0.22)

[2018] Anoop, V. S., & Asharaf, S. Aspect-oriented sentiment analysis: a topic modeling-powered approach. Journal of Intelligent Systems, 29(1), 1166-1178. (Scopus, ESCI, IF: 3.0, Q2, SJR: 0.52)

[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, SCIE, Q2, SJR: 0.58)

[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, ESCI, IF: 3.0, Q2, SJR: 0.52)

[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)

INTERNATIONAL CONFERENCES

[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 (In Press)

[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)

PREPRINTS

[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.