Basant Agarwal
Central University of Rajasthan, Indian Institute of Information Technology (IIIT Kota)
About
Dr. Basant Agarwal is currently working as an Associate Professor at Department of Computer Science and Engineering, Central University of Rajasthan. Earlier, he worked as an Assistant Professor at Department of Computer Science and Engineering at the Indian Institute of Information Technology Kota (IIIT-Kota), India, which is an Institute of National Importance. Dr Basant Agarwal holds a M.Tech. and Ph.D. in Computer Science and Engineering from Malaviya National Institute of Technology (MNIT) Jaipur, India. He has more than 9 years of experience in research and teaching. He has worked as a Postdoc Research Fellow at the Norwegian University of Science and Technology (NTNU), Norway, under the prestigious ERCIM (European Research Consortium for Informatics and Mathematics) fellowship in 2016. He has also worked as a Research Scientist at Temasek Laboratories, National University of Singapore (NUS), Singapore. He has worked on exploring the methods for knowledge extraction from text using deep learning algorithms, Convolutional Neural Network, Recurrent Neural Network etc. He has published more than 60 research papers in reputed conferences and Journals. His research interests include Deep Learning, Natural Language Processing, Machine Learning, Sentiment Analysis, Sentic Computing.
Employment
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Central University of Rajasthan Associate Professor2022 - Present
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Indian Institute of Information Technology (IIIT Kota) Assistant Professor2019 - 2022
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- Advancements in Chatbot Technology Save
- From Translation to Generative LLMs: Classification of Code-Mixed Affective Tasks Save
- Application of Deep Learning Approaches for Sentiment Analysis Save
- Detection and Analysis of Life Style based Diseases in Early Phase of Life: A Survey Save
- Preface Save
- Preface Save
- Spam detection in social media using convolutional and long short term memory neural network Save
- A deep network model for paraphrase detection in short text messages Save
- Machine learning approaches for sentiment analysis Save
- Prominent feature extraction for review analysis: An empirical study Save