Sunil Saumya

About

SUNIL SAUMYA received the B.Tech degree in Computer Science and Engineering in 2012. He received an M.Tech degree in Computer Science and Engineering from Visvesvaraya Technological University, Belgaum, India in 2014. He received a Ph.D. degree from the National Institute of Technology, Patna, India in 2020. He is currently working as an Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT), Dharwad, India. He joined IIIT Dharwad in July 2019. His areas of research include Applied Machine Learning, Deep Learning, Information Retrieval, and Natural Language Processing. He has worked on an E-commerce review ranking system, fake review detection, identifying hate and offensive contents in social media.

Employment

• Indian Institute of Information Technology Dharwad Assistant Professor
  2019 - Present

Education

• National Institute of Technology Patna PhD
  2015 - 2020

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• A Machine Learning Model for Review Rating Inconsistency in E-commerce Websites
  Advances in Intelligent Systems and Computing 2021 DOI: 10.1007/978-981-15-5616-6_16
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• IIIT_DWD@HASOC 2020: Identifying offensive content in Indo-European languages
  CEUR Workshop Proceedings 2020
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• NITP-AI-NLP@Dravidian-CodeMix-FIRE2020: A hybrid CNN and Bi-LSTM network for sentiment analysis of dravidian code-mixed social media posts
  CEUR Workshop Proceedings 2020
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• NITP-AI-NLP@HASOC-Dravidian-CodeMix-FIRE2020: A machine learning approach to identify offensive languages from Dravidian code-mixed text
  CEUR Workshop Proceedings 2020
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• NITP-AI-NLP@HASOC-FIRE2020: Fine tuned BERT for the Hate Speech and Offensive Content identification from social media
  CEUR Workshop Proceedings 2020
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• NITP-AI-NLP@UrduFake-FIRE2020: Multi-layer dense neural network for fake news detection in urdu news articles
  CEUR Workshop Proceedings 2020
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• NSIT & IIITDWD @ HASOC 2020: Deep learning model for hate-speech identification in Indo-European languages
  CEUR Workshop Proceedings 2020
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• Predicting the helpfulness score of online reviews using convolutional neural network
  Soft Computing 2020 DOI: 10.1007/s00500-019-03851-5
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• Spam review detection using LSTM autoencoder: an unsupervised approach
  Electronic Commerce Research 2020 DOI: 10.1007/s10660-020-09413-4
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• A comparative analysis of machine learning techniques for disaster-related tweet classification
  IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019 DOI: 10.1109/R10-HTC47129.2019.9042443
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