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Dr Sunil Saumya

vidwan id: 132064
Male

Assistant Professor, Department of Data Science and Artificial Intelligence
Indian Institute of Information Technology, Dharwad

Expertise

  • Computer Science Information Systems

Publications

Total Articles 44
Books 0
Proceedings 0

Publications

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Scopus

Citations 1026
h-index 15

CrossRef

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Citations 678
h-index 10
Google Scholar

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Professional Recognition

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Bio

Applied Machine Learning, Applied Deep Learning, Data Analytics

Personal Details

  • Male
  • Assistant Professor , Indian Institute of Information Technology, Dharwad
  • Indian Institute of Information Technology Dharwad
Ph.D
National Institute of Technology Patna 2020
Assistant Professor Jan 2016 – Present
Indian Institute of Information Technology, Dharwad | Department of Data Science and Artificial Intelligence

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Scholarly Work

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Scholarly Publications

Predicting the helpfulness score of online reviews using convolutional neural network

Open Access
Article

NITP-AI-NLP@UrduFake-FIRE2020: Multi-layer dense neural network for fake news detection in urdu news articles

Open Access
Conference Paper
Authors: Kumar A.;Saumya S.;Singh J.P.
10

NITP-AI-NLP@Dravidian-CodeMix-FIRE2020: A hybrid CNN and Bi-LSTM network for sentiment analysis of dravidian code-mixed social media posts

Open Access
Conference Paper
Authors: Kumar A.;Saumya S.;Singh J.P.
10

NITP-AI-NLP@HASOC-Dravidian-CodeMix-FIRE2020: A machine learning approach to identify offensive languages from Dravidian code-mixed text

Open Access
Conference Paper
Authors: Kumar A.;Saumya S.;Singh J.P.
22

IIIT_DWD@HASOC 2020: Identifying offensive content in Indo-European languages

Open Access
Conference Paper
Authors: Mishra A.K.;Saumya S.;Kumar A.
13

NITP-AI-NLP@HASOC-FIRE2020: Fine tuned BERT for the Hate Speech and Offensive Content identification from social media

Open Access
Conference Paper
Authors: Kumar A.;Saumya S.;Singh J.P.
15

A comparative analysis of machine learning techniques for disaster-related tweet classification

Open Access
Conference Paper

Genre fraction detection of a movie using text mining

Open Access
Conference Paper