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Veena G.

Assistant Professor(Senior Grade), School of Computing, Amritapuri

Qualification: M.Tech
veenag@am.amrita.edu
Research Interest: Natural Language Processing, Machine Learning, Deep Learning, Text Mining, Data Mining and Knowledge Discovery, Knowledge Graph, Graph Representation Learning

Bio

Veena G is working as an Assistant Professor (Senior Grade) with the Department of Computer Science and Application, Amrita School of Computing, Amritapuri, Kerala, India. She received M.Tech. degree in Machine Learning from Amrita Vishwa Vidyapeetham, India, in 2013, where she is currently pursuing the Ph.D. degree in natural language processing/text mining/information extraction. Her research interests include Data Mining, Information Retrieval, Machine Learning, Natural Language Processing, Statistical Analysis, Text Analytics.

Qualifications

  • Post Graduation: MTech(CS) Specialization : Machine Learning ( Amrita School of Engineering , Amrita Vishwa Vidyapeetham ,Amritapuri ) 2013

 

Publications

Journal Article

Year : 2023

AGRONER: An Unsupervised Agriculture Named Entity Recognition using Weighted Distributional Semantic Model

Cite this Research Publication : VeenaG,VaniKanjirangat,DeepaGupta(2023)“AGRONER: An Unsupervised Agriculture Named Entity Recognition using Weighted Distributional Semantic Model”, Published in Expert Systems with Applications (IF 8.665). page120440. ISSN0957- 4174

Year : 2021

Adoption of online proctored examinations by university students during COVID-19: Innovation diffusion study.

Cite this Research Publication : Raghu Raman, B, S., G, V., Vachharajani, H., and Prof. Prema Nedungadi, “Adoption of online proctored examinations by university students during COVID-19: Innovation diffusion study.”, Educ Inf Technol (Dordr), pp. 1-20, 2021.

Publisher : Educ Inf Technol (Dordr).

Year : 2018

Named entity recognition in text documents using a modified conditional random field

Cite this Research Publication : G. Veena, Dr. Deepa Gupta, Lakshmi S, and Jacob, J. T., “Named entity recognition in text documents using a modified conditional random field”, Advances in Intelligent Systems and Computing, vol. 709, pp. 31-41, 2018.

Publisher : Advances in Intelligent Systems and Computing

Year : 2018

An Extended Model for Semantic Role Labeling Using Word Sense Disambiguation and Dependency Parsing

Cite this Research Publication : G. Veena, Pillai, L. R., and Dr. Deepa Gupta, “An Extended Model for Semantic Role Labeling Using Word Sense Disambiguation and Dependency Parsing”, Journal of Engineering and Applied Sciences, vol. 12, 2018.

Publisher : Journal of Engineering and Applied Sciences

Conference Paper

Year : 2021

Comparative study of Twitter Sentiment On COVID – 19 Tweets

Cite this Research Publication : G A. J. Nair, V.G and A. Vinayak, "Comparative study of Twitter Sentiment On COVID – 19 Tweets,"2021 5th International Conference on Computing Methodologies and Communication (ICCMC),2021,pp.1773-1778,doi: 10.1109/ICCMC51019.2021.9418320

Publisher : IEEE Xplore

Year : 2021

Sentiment Analysis using Improved Vaderand Dependency Parsing

Cite this Research Publication : G. Veena, A. Vinayak and A. J. Nair, "Sentiment Analysis using Improved Vaderand Dependency Parsing," 2021 2nd Global Conference for Advancement in Technology (GCAT), 2021, pp. 1-6, doi: 10.1109/GCAT52182.2021.9587829

Publisher : IEEE Xplore

Year : 2018

A Combined Approach Using Semantic Role Labelling and Word Sense Disambiguation for Question Generation and Answer Extraction

Cite this Research Publication : L. R. Pillai, Veena, G., and Gupta, D., “A Combined Approach Using Semantic Role Labelling and Word Sense Disambiguation for Question Generation and Answer Extraction”, in Second International Conference on Advances in Electronics, Computers and Communications (ICAECC), Bangalore, India, 2018

Publisher : Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)

Year : 2017

A graph-based relation extraction method for question answering system

Cite this Research Publication : G. Veena, Athulya, S., Shaji, S., and Dr. Deepa Gupta, “A graph-based relation extraction method for question answering system”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi, India, 2017, vol. 2017-January, pp. 944-949.

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics.

Year : 2017

A learning method for coreference resolution using semantic role labeling features

Cite this Research Publication : G. Veena, Dr. Deepa Gupta, Daniel, A. N., and Roshny, S., “A learning method for coreference resolution using semantic role labeling features”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi, India, 2017.

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE

Year : 2016

A Concept Based Graph Model for Document Representation Using Coreference Resolution

Cite this Research Publication : G. Veena and Krishnan, S., “A Concept Based Graph Model for Document Representation Using Coreference Resolution”, in Intelligent Systems Technologies and Applications, Cham, 2016

Publisher : Intelligent Systems Technologies and Applications, Springer International Publishing

Year : 2016

A concept-based model for query management in service desks

Cite this Research Publication : G. Veena, Peter, A. S., Rajkumari, K. A., and Ramanan, N., “A concept-based model for query management in service desks”, in International Conference on Innovations in Computer Science & Engineering (ICICSE-2016) Proceedings in Springer Advances in Intelligent Systems and Computing, Guru Nanak Institutions, Hyderabad, India, 2016, vol. 413, pp. 255-265

Publisher : International Conference on Innovations in Computer Science Engineering (ICICSE-2016) Proceedings in Springer Advances in Intelligent Systems and Computing

Year : 2015

Improving the Accuracy of Document Similarity Approach using Word Sense Disambiguation

Cite this Research Publication : G. Veena and B. U, U. Sree Veni, “Improving the Accuracy of Document Similarity Approach using Word Sense Disambiguation”, in WCI '15 Proceedings of the Third International Symposium on Women in Computing and Informatics, Kochi, India, 2015.

Publisher : WCI '15 Proceedings of the Third International Symposium on Women in Computing and Informatics

Year : 2014

A concept based clustering model for document similarity

Cite this Research Publication : G. Veena and Lekha, N. K., “A concept based clustering model for document similarity”, in 2014 International Conference on Data Science Engineering (ICDSE), 2014, pp. 118-123

Publisher : 2014 International Conference on Data Science Engineering (ICDSE)

Conference Proceedings

Year : 2022

Open Information Extraction System For Extracting Relations in Legal Documents

Cite this Research Publication : N. Raj, S. Thomas and V. G, "Open Information Extraction System For Extracting Relations in Legal Documents," 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2022, pp. 1-8, doi: 10.1109/GCAT55367.2022.9971995.

Publisher : IEEE

Year : 2021

Comparative study of Twitter Sentiment On COVID – 19 Tweets

Cite this Research Publication : G A. J. Nair, V. G and A. Vinayak, "Comparative study of Twitter Sentiment On COVID - 19 Tweets," 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021, pp. 1773-1778, doi: 10.1109/ICCMC51019.2021.9418320.

Publisher : IEEE

Year : 2021

Sentiment Analysis using Improved Vader and Dependency Parsing

Cite this Research Publication : G Veena; Aadithya Vinayak; Anu J Nair, "Sentiment Analysis using Improved Vader and Dependency Parsing," 2021 2nd Global Conference for Advancement in Technology (GCAT), 2021, pp. 1-6, doi: 10.1109/GCAT52182.2021.9587829.

Publisher : IEEE

Year : 2020

Recognizing Named Entities in Agriculture Documents using LDA based Topic Modelling Techniques

Cite this Research Publication : Veena Gangadharan, Deepa Gupta, Recognizing Named Entities in Agriculture Documents using LDA based Topic Modelling Techniques, Procedia Computer Science, Volume 171, 2020, Pages 1337-1345, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2020.04.143.

Publisher : Elsevier Procedia Computer Science

Year : 2020

Paraphrase Detection Using Deep Neural Network Based Word Embedding Techniques

Cite this Research Publication : V. Gangadharan, D. Gupta, A. L. and A. T.A., "Paraphrase Detection Using Deep Neural Network Based Word Embedding Techniques," 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184), 2020, pp. 517-521, doi: 10.1109/ICOEI48184.2020.9142877.

Publisher : IEEE

Year : 2019

A Comparative Study of Lung Cancer Detection using Machine Learning Algorithms

Cite this Research Publication : R. P.R., R. A. S. Nair and V. G., "A Comparative Study of Lung Cancer Detection using Machine Learning Algorithms," 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2019, pp. 1-4, doi: 10.1109/ICECCT.2019.8869001.

Publisher : IEEE

Year : 2019

A Comparative Study of Lung Cancer Detection using Machine Learning Algorithms

Cite this Research Publication : R. P.R., R. A. S. Nair and V. G., "A Comparative Study of Lung Cancer Detection using Machine Learning Algorithms," 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2019, pp. 1-4, doi: 10.1109/ICECCT.2019.8869001.

Publisher : IEEE

Year : 2019

Relation Extraction in Clinical Text using NLP Based Regular Expressions

Cite this Research Publication : V. G, H. R and J. Hareesh, "Relation Extraction in Clinical Text using NLP Based Regular Expressions," 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2019, pp. 1278-1282, doi: 10.1109/ICICICT46008.2019.8993274.

Publisher : IEEE

Year : 2019

An Ontology Driven Question Answering System for Legal Documents

Cite this Research Publication : V. G, D. Gupta, A. Anil and A. S, "An Ontology Driven Question Answering System for Legal Documents," 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2019, pp. 947-951, doi: 10.1109/ICICICT46008.2019.8993168.

Publisher : IEEE

Year : 2015

An Extended Chameleon Algorithm for Document Clustering

Cite this Research Publication : G. Veena and K., L. N., “An Extended Chameleon Algorithm for Document Clustering”, in Advances in Intelligent Informatics, Cham, 2015

Publisher : Advances in Intelligent Informatics, Springer International Publishing,

Courses Taught

Machine Learning, Natural Language Processing, Text Analytics, Advanced Jave Programming, Python Programming

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