Ph.D. , M.Sc. (Computer Science)
Text Mining, Opinion Mining & Sentiment Analysis, Information Retrieval, Natural Language Processing
Currently involved in Biomedical text mining: Information retrieval, Text Classification, Text mining for precision medicine, Text mining for Adverse Drug Reactions, Knowledge Graphs and their applications in biomedical text mining.
20 Years
1.Verma, S., Kumar, A. & Sharan, A. MuCon: Multi-channel convolution for targeted sentiment classification. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-16586-1 IF3.1
2.Mehrotra, S., Sharan, A. & Varish, N. Improving search result clustering using nature inspired approach. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-023-18067-x IF 3.1
3. Verma, S., Sharan, A. & Malik, N. Efficient Classification of Hallmark of Cancer Using Embedding-Based Support Vector Machine for Multilabel Text. New Gener. Comput. (2024). https://doi.org/10.1007/s00354-024-00248-3 IF 1.18
4.Verma, S., Kumar, A. & Sharan, A. IAN-BERT: Combining Post-trained BERT with Interactive Attention Network for Aspect-Based Sentiment Analysis. SN COMPUT. SCI. 4, 756 (2023). https://doi.org/10.1007/s42979-023-02229-7
5.“An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain segmentation”, Hanuman Verma, R.K. Agrawal, Aditi Sharan, Applied Soft Computing 46 (2016) 543-557. IF 8.7
6.“A new fuzzy logic based query expansion model for efficient information retrieval using relevance feedback approach”, Jagendra Singh and Aditi Sharan, Neural Computing And Applications, Vol. 28 Issue 9 , September 2017 , pp 2557-2580, Springer. IF 6.2
7. Singh, A., & Sharan, A. (2018). Genetic-Fuzzy Programming Based Linkage Rule Miner (GFPLR-Miner) for Entity Linking in Semantic Web. International Journal on Semantic Web and Information Systems (IJSWIS), 14(3), 134-166. (http://doi.org/ 10.4018/IJSWIS.2018070107, SCIE IF:1.5)
8.Singh, A., Sharan, A. Unsupervised genetic programming based linkage rule (UGPLR) Miner for entity linking in semantic web. Evol. Intel. 12, 609–632 (2019). https://doi.org/10.1007/s12065-019-00263-0 IF 2.9
9.Kumar, A., Verma, S., & Sharan, A. (2021). ATE-SPD: simultaneous extraction of aspect-term and aspect sentiment polarity using Bi-LSTM-CRF neural network. Journal of Experimental & Theoretical Artificial Intelligence, 33(3), 487-508. https://doi.org/10.1080/0952813X.2020.1764632 IF 2.2
10. Kumar, A., Saini, M., & Sharan, A. (2020). Aspect category detection using statistical and semantic association. Computational Intelligence, 36(3), 1161-1182. IF 2.8
1.Mehrotra, S., Sharan, A. & Varish, N. Improving search result clustering using nature inspired approach. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-023-18067-x
2.Verma, S., Kumar, A. & Sharan, A. MuCon: Multi-channel convolution for targeted sentiment classification. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-16586-1
3.Verma, S., Kumar, A. & Sharan, A. IAN-BERT: Combining Post-trained BERT with Interactive Attention Network for Aspect-Based Sentiment Analysis. SN COMPUT. SCI. 4, 756 (2023). https://doi.org/10.1007/s42979-023-02229-7
4.Verma, S., Sharan, A. & Malik, N. Efficient Classification of Hallmark of Cancer Using Embedding-Based Support Vector Machine for Multilabel Text. New Gener. Comput. (2024). https://doi.org/10.1007/s00354-024-00248-3
5.Singh, S., Sharan, A. (2024). PICO Classification Using Domain-Specific Features. In: Jain, S., Marriwala, N., Singh, P., Tripathi, C., Kumar, D. (eds) Emergent Converging Technologies and Biomedical Systems. ETBS 2023. Lecture Notes in Electrical Engineering, vol 1116. Springer, Singapore. https://doi.org/10.1007/978-981-99-8646-0_35
6.Verma, S., Sharan, A. (2023). Incorporating Semantics for Text Classification in Biomedical Domain. In: Jain, S., Groppe, S., Mihindukulasooriya, N. (eds) Proceedings of the International Health Informatics Conference. Lecture Notes in Electrical Engineering, vol 990. Springer, Singapore. https://doi.org/10.1007/978-981-19-9090-8_17
7.Soni, G., Verma, S., Sharan, A., Ahmad, O. (2023). BioBERT-Based Model for COVID-Related Named Entity Recognition. In: Mishra, A., Gupta, D., Chetty, G. (eds) Advances in IoT and Security with Computational Intelligence. ICAISA 2023. Lecture Notes in Networks and Systems, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-99-5085-0_32
8.Dev, S., Sharan, A. (2023). Automatic Construction of Named Entity Corpus for Adverse Drug Reaction Prediction. In: Bhattacharya, A., Dutta, S., Dutta, P., Piuri, V. (eds) Innovations in Data Analytics. ICIDA 2022. Advances in Intelligent Systems and Computing, vol 1442. Springer, Singapore. https://doi.org/10.1007/978-981-99-0550-8_20
9. Ahmad O., Verma S., Azim S., Sharan A. (2022) Hybridizing Sentence Transformer Model with Multi-KNN for Biomedical Documents. In: Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6460-1_11.
10. Malik, N., Sharan, A., & Verma, S. (2021). Semantic Web Solutions for Improvised Search in Healthcare Systems. Semantic Web for Effective Healthcare, 95-113.
11. Kumar, A., Verma, S., & Sharan, A. (2021). ATE-SPD: simultaneous extraction of aspect-term and aspect sentiment polarity using Bi-LSTM-CRF neural network. Journal of Experimental & Theoretical Artificial Intelligence, 33(3), 487–508. doi:10.1080/0952813X.2020.1764632.
12 A. Kumar, M. Saini, A. Sharan. “Aspect category detection using statistical and semantic association”. In: Computational Intelligence 36.3 (2020), pp. 1161–1182. doi: 10.1111/coin.12327.
13. Shahid Azim, Samridhi Dev, Sushil Kumar and Aditi Sharan , "Artificial Intelligence for Biomedical Informatics": In: Artificial Intelligence Technologies for Computational Biology, CRC Press (2022)
14. Kumar, Sushil & Sahu, Avantika & Sharan, Aditi. (2022), "Deep Learning Based Architecture for Entity Extraction from Covid Related Documents"In : Information Systems and Management Science (pp.419-427), 10.1007/978-3-031-13150-9_33.