Durgesh Kumar @durgeshbhagat
- Received the B.Tech. degree, in Information and Technology from Haldia Institute of Technology, West Bengal, India in 2012.
- Completed Ph.D. in Computer Science and Enginerring from Indian Institute of Technology, Guwahati, Assam, India in 2022.
- Natural Language Processing
- Classification
- Clustering
- Topic Modeling
- Social Media Mining
- Sentiment Analysis and Emotion Dynamics
- Fake News Detection
- Mining relationship between attributes/entities
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Journals
- D. Kumar, L. G. Singh and S. R. Singh, "Hashtag-Based Tweet Expansion for Improved Topic Modeling," in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3171206 https://ieeexplore.ieee.org/abstract/document/9787710.
- Debashis Naskar, Sanasam Ranbir Singh, Durgesh Kumar, Sukumar Nandi, and Eva Onaindia de la Rivaherrera. 2020. Emotion Dynamics of Public Opinions on Twitter. ACM Trans. Inf. Syst. 38, 2, Article 18 (April 2020), 24 pages. https://doi.org/10.1145/3379340
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Conferences
- Kumar, D. and Singh, S.R. Prioritized Named Entity Driven LDA for Document Clustering.In International Conference on Pattern Recognition and Machine Intelligence, pages 294–301. Springer,2019. https://dl.acm.org/doi/10.1007/978-3-030-34872-4_33
- Anil, A., Kumar, D., Sharma S., Singha, R., Sarmah, R., Ranjan, Bhattacharya, N. and Singh, S.R. Link prediction using social network analysis over heterogeneous terrorist network. In 2015 IEEE International Conference on Smart City/ SocialCom/SustainCom (SmartCity), pages 267–272. 2015. https://ieeexplore.ieee.org/abstract/document/7463736
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent