Dr. Deepak Sahoo
Qualification
M.Tech. IIIT-Bhubaneswar
Ph.D. IIIT-Bhubaneswar
What subject you teach at SSU ?
Natural Language Processing (NLP)
Data Science
Machine learning
Data structure
Programming logic and Technique
Programming using ‘C’
Programming using Python
Dr. Deepak Sahoo says
“SSU is a perfect blend of spirituality, academics and research”.
Interests
Teaching
Technology
Cricket
Listening news
Journals
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1. “BERT-GCN MULTI-TASK MODEL FOR DISASTER DETECTION, CLASSIFICATION, AND HELP IDENTIFICATION IN TWEETS”, Journal of Theoretical and Applied Information Technology Open source preview, 2025, 103(22), pp. 9304–9323.
2. “BERT-GCN MULTI-TASK MODEL FOR DISASTER DETECTION, CLASSIFICATION, AND HELP IDENTIFICATION IN TWEETS”, Journal of Theoretical and Applied Information Technology Open source preview, 2025, 103(22), pp. 9304–9323.
3. “Fine-Tuning Transformer-Based Representations in Active Learning for Labeling Crisis Dataset of Tweets”, SN Computer Science Open source preview, 2023, 4(5), 553.
4. “Classification of crisis-related data on Twitter using a deep learning-based framework”, Multimedia Tools and Applications Open source preview, 2023, 82(6), pp. 8921–8941.
5. “Mining social media text for disaster resource management using a feature selection based on forest optimization”, Computers and Industrial Engineering Open source preview, 2022, 169, 108280.
6. “Aggression in social media: Detection using machine learning algorithms”, International Journal of Scientific and Technology Research Open source preview, 2020, 9(4), pp. 114–117.
7. “A hybrid approach to retrieve knowledge from a document”, International Journal of Knowledge Management Open source preview, 2020, 16(1), pp. 83–100.
8. “Single-sentence compression using SVM”, Advances in Intelligent Systems and Computing Open source preview, 2018, 758, pp. 483–492.
9. “Hybrid Approach to Abstractive Summarization”, Procedia Computer Science Open source preview, 2018, 132, pp. 1228–1237.
10. “Name entity recognizer for odia using conditional random fields”, Indian Journal of Science and Technology Open source preview, 2013, 6(4), pp. 4290–4293.
11. “Multi document summarization using clustering”, Journal of Theoretical and Applied Information Technology Open source preview, 2012, 46(2), pp. 565–571.
Conference and Book chapter
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1. “Machine Learning Approach to Classify and Answer Paddy-Related Queries Using KCC Dataset”, Lecture Notes in Networks and Systems Open source preview, 2025, 886, pp. 189–198.
2. “A Hybrid Embedding Approach to Classify Crisis-Related Short Text”, Lecture Notes in Networks and Systems Open source preview, 2025, 885, pp. 1–7.
3. “Performance Evaluation of Diverse ML Techniques in Disasters Twitter classification”, 2nd IEEE International Conference on Networks Multimedia and Information Technology Nmitcon 2024 Open source preview, 2024.
4. “VocabGCN-BERT: A Hybrid Model to Classify Disaster Related Tweets”,Proceedings 2022 Oits International Conference on Information Technology Ocit 2022 Open source preview, 2022, pp. 55–60.
5. “Sarcasm Detection Using Deep Learning”, Proceedings 2021 19th Oits International Conference on Information Technology Ocit 2021 Open source preview, 2021, pp. 331–335.
6. “A novel approach to sentence clustering”, Proceeding IEEE International Conference on Computing Communication and Automation Iccca 2016 Open source preview, 2017, pp. 1–6, 7813697.
7. “Aspect based multi-document summarization”, Proceeding IEEE International Conference on Computing Communication and Automation Iccca 2016 Open source preview, 2017, pp. 873–877, 7813838.
8.”Automatic creation of NE list for Odia”, Communication and Computing Systems Proceedings of the International Conference on Communication and Computing Systems Icccs 2016 Open source preview, 2017, pp. 845–848.
9. “Odia transliteration engine using moses”, 2014 2nd International Conference on Business and Information Management Icbim 2014 Open source preview, 2014, pp. 27–29, 6970927.
