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B.Tech. (Guru Gobind Singh Indraprastha University, India)

M.Tech. (Guru Gobind Singh Indraprastha University, India)

Ph.D. (National Institute of Technological Delhi, India)

Dr. Vedika Gupta

Associate Professor

Email vgupta2@jgu.edu.in
Connect with me
ORCID ID 0000-0002-8109-498X
Key Expertise Social Media Analytics, Natural Language Processing, Sentiment Analysis, Information Retrieval, Emotion Recognition

B.Tech. (Guru Gobind Singh Indraprastha University, India)

M.Tech. (Guru Gobind Singh Indraprastha University, India)

Ph.D. (National Institute of Technological Delhi, India)

Biography

Dr. Vedika Gupta, an Associate Professor at Jindal Global Business School (IS & Analytics area), brings a wealth of experience and expertise to both academia and research. With a background in government administration, her skills encompass research and development (R&D), data analysis, artificial intelligence, social media analysis, and socio-economic behavior detection.

She holds a PhD from the National Institute of Technology Delhi (NITD), specializing in social media sentiment analysis, and has dedicated over 11 years to research and teaching. Her scholarly interests span data mining, information retrieval, data science, sentiment analysis, and emotion recognition. Notably, she has contributed to over 50 publications in esteemed international Web of Science (WoS) and Scopus journals as well as conferences.

Dr. Vedika actively participates in the academic community by serving as a reviewer for reputable journals by Springer, IEEE, and Elsevier. Her commitment is evident in her thorough review of over 100 papers for peer-reviewed international journals and esteemed conferences. She maintains a lifetime membership with the Computer Society of India and contributes to the Machine Intelligence Research Lab, USA, and the Text Analytics Research Group at Banaras Hindu University, Varanasi, India.

In addition to her academic pursuits, Dr. Vedika serves as the Assistant Dean for the One-year MBA program at OP Jindal Global University. She has organized four Hackathons and three Faculty Development Programs (FDPs) and has contributed as a member of the Research & Development Cell and the admission panel at her previous organizations.

In her approach to teaching, Prof. Vedika emphasizes practical knowledge, blending theoretical concepts with real-world applications. She perceives experimental research as an engaging endeavor, viewing it as a means to innovate and explore new avenues in her field. Driven by the belief that the essence of teaching and research lies in delivering original contributions, her pedagogical methods are tailored to challenge intellectual boundaries while aligning with practical scenarios and real-time case studies.

Research Interests: Social Media Analytics, Natural Language Processing, Sentiment Analysis, Information Retrieval, Emotion Recognition.

LIST OF PUBLICATIONS

In Journal:-

  1. Deepawali Sharma, Vedika Gupta & Vivek Kumar Singh (2024). “Stop the hate, spread the hope: An ensemble model for Hope Speech detection in English and Dravidian languages“. ACM Transactions on Asian and Low-Resource Language Information Processing (Accepted)
  2. Deepawali Sharma, Vedika Gupta & Vivek Kumar Singh (2024). “Should we stay silent on violence? An ensemble approach to detect violent incidents in Spanish social media texts”. Natural Language Processing. (In-press)
  3. Deepawali Sharma, Vedika Gupta & Vivek Kumar Singh. “TABHATE: A Target-based Hate Speech Detection Dataset in Hindi”. 9th International Symposium on Language & Knowledge Engineering LKE 2024 (Accepted) to be published at SN Computer Science, Springer.
  4. Srishti Jhunthra, Rahul Goel, Shakshi Sharma, Vedika Gupta, Rajesh Sharma and Pranav Dass (2024). “Understanding user polarisation regarding COVID-19 Vaccines through social network analysis ” Journal of Discrete Mathematical Sciences & Cryptography. (In Press)
  5. Vedika Gupta, Shreya Dhingra, Rohan Arora, Piyush Katariya, Adarsh Kumar. “A deep learning model to predict and classify Crime Rate using Tweets“. Journal of Discrete Mathematical Sciences & Cryptography. (In-Press)
  6. Vashishtha, Srishti, Vedika Gupta, and Mamta Mittal. “Sentiment analysis using fuzzy logic: A comprehensive literature review.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13.5 (2023): e1509. DOI: https://doi.org/10.1002/widm.1509
  7. Jain, Nikita, Vedika Gupta, Usman Tariq, and D. Jude Hemanth. “Fast violence recognition in video surveillance by integrating object detection and Conv-LSTM.” International Journal on Artificial Intelligence Tools 32, no. 03 (2023): 2340018. DOI: https://doi.org/10.1142/S0218213023400183
  8. Qian, Cheng, Nitya Mathur, Nor Hidayati Zakaria, Rameshwar Arora, Vedika Gupta, and Mazlan Ali. “Understanding public opinions on social media for financial sentiment analysis using AI-based techniques.” Information Processing & Management 59, no. 6 (2022): 103098. ISSN: 0306-4573 DOI: https://doi.org/10.1016/j.ipm.2022.103098
  9. Bansal, Vibhuti, Mrinal Tyagi, Rajesh Sharma, Vedika Gupta, and Qin Xin. “A Transformer Based Approach for Abuse Detection in Code Mixed Indic Languages.” ACM Transactions on Asian and Low-Resource Language Information Processing (2022). (In press ) ISSN: 2375-4699 DOI: https://doi.org/10.1145/3571818
  10. Raman, Shatakshi, Vedika Gupta, Preeti Nagrath, and K. C. Santosh. “Hate and aggression analysis in NLP with explainable AI.” International Journal of Pattern Recognition and Artificial Intelligence 36, no. 15 (2022): 2259036. ISSN: 0218-0014 DOI: https://doi.org/10.1142/S0218001422590364
  11. Gupta, Vedika, Harshit Gaur, Srishti Vashishtha, Uttirna Das, Vivek Kumar Singh, and D. Jude Hemanth. “A fuzzy rule‐based system with decision tree for breast cancer detection.” IET Image Processing 17, no. 7 (2023): 2083-2096. ISSN: 1751-9659 Doi: https://doi.org/10.1049/ipr2.12774
  12. Jain, Nikita, Vedika Gupta, Usman Tariq, and D. Jude Hemanth. “Fast Violence Recognition in Video Surveillance by Integrating Object Detection and Conv-LSTM.” International Journal on Artificial Intelligence Tools 32, no. 03 (2023): 2340018. Doi: https://doi.org/10.1142/S0218213023400183
  13. Vashishtha, Srishti, Vedika Gupta, and Mamta Mittal. “Sentiment analysis using fuzzy logic: A comprehensive literature review.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13, no. 5 (2023): e1509.ISSN: 1942-4787 Doi: https://doi.org/10.1002/widm.1509
  14. Md Arman Hossen, Md Merazur Rahman, Md Nabil Ahmed Nahid, Rafiul Islam, Sumit Kumar Banshal, Vedika Gupta, and Pranav Dass. “Impact on GDP and the stock market during pandemics or epidemics of 21st century.” Journal of Interdisciplinary Mathematics 26, no. 5 pp.951–971 (2023). ISSN: 0972-0502 doi: https://doi.org/10.47974/JIM-1533
  15. Vedika Gupta, Nikita Jain, Jatin Sachdeva, Mudit Gupta, Mohd Yazid Bajuri, Yu Mingchu. “Improved Covid-19 Detection With Chest X-ray Images Using Deep Learning”. Multimedia Tools and Applications 81, no. 26 (2022): 37657-37680. ISSN: 1380-7501 doi: https://doi.org/10.1007/s11042-022-13509-4
  16. Vedika Gupta, Piyush Katariya, Rohan Arora, Adarsh Kumar, Shreya Dhingra, Qin Xin, and Jude Hemanth. “A Deep Neural Network based Approach for Fake News Detection in Regional Language”. International Journal of Web Information Systems 18, no. 5/6 (2022): 286-309. ISSN: 1744-0084 doi: https://doi.org/10.1108/IJWIS-02-2022-0036
  17. Vedika Gupta, Nikita Jain, Deepali Virmani, Senthilkumar Mohan, Ali Ahmadian, and Massimiliano Ferrara. “Air and Water Health: Industrial Footprints of COVID-19 Imposed Lockdown in India”. Arabian Journal of Geosciences 15, no. 8 (2022): 687.
  18. Gupta, Vedika, Pranav Dass, and Rameshwar Arora. “Pendulating or resonating? a case of echo-chambers in twitter.” Journal of Discrete Mathematical Sciences and Cryptography 25, no. 1 (2022): 231-240. ISSN: 0972-0529 DOI: https://doi.org/10.1080/09720529.2021.2019442
  19. Gupta, Vedika, Pranav Dass, Vibhuti Bansal, and Rameshwar Arora. “A truncated deep neural network for identifying age groups in real time images.” Journal of Interdisciplinary Mathematics 25, no. 3 (2022): 851-861. ISSN: 09720502 DOI: https://doi.org/10.1080/09720502.2021.2016917
  20. Vedika Gupta, C. Santosh, Rameshwar Arora, Tiziana Ciano, and Senthilkumar Mohan. “Socio-economic impact due to COVID-19: An Empirical Assessment.” Information Processing & Management (2021), Volume 59, Issue 2, 102810. doi: https://doi.org/10.1016/j.ipm.2021.102810 ISSN: 0306-4573
  21. Stuti Juyal, Vedika Gupta, Yu-Chen Hu. “Analyzing Deep Neural Network architecture and bag of visual words technique on speech spectrograms for recognition of emotions”. The Journal of Supercomputing. Springer (2021) Volume 78, pages 6944–6973. doi: https://doi.org/10.1007/s11227-021-04124-5 ISSN: 0920-8542
  22. Harshit Garg, Vedika Gupta, Srishti Jhunthra. (2021). “Predicting Attributes based Movie success through Ensemble Machine Learning”. Multimedia Tools and Applications, Springer. Volume 82, pages 9597–9626 doi: https://doi.org/10.1007/s11042-021-11553-0 ISSN: 1380-7501
  23. Shubham, S., Jain, N., Gupta, V., Mohan, S., Ariffin, M. M., & Ahmadian, A. (2021). “Identify glomeruli in human kidney tissue images using a deep learning approach”. Soft Computing, Volume 27, pages 2705–2716. doi: https://doi.org/10.1007/s00500-021-06143-z ISSN: 1432-7643
  24. Shubham, Vedika Gupta, Agam Madan, Ankit Chaudhary, KC Santosh. “Understanding Cartoon Emotion using Deep Neural Networks on Large Dataset”. Neural Computing and Applications (2021): Volume 34, pages 21481–21501. doi: https://doi.org/10.1007/s00521-021-06003-9
  25. Nikita Jain , Vedika Gupta, Agam Madan, Deepali Virmani. (2021). “Analytical and Empirical Assessment on the role of Bacillus Calmette-Guérin to combat COVID-19” Cmc-Computers Materials & Continua, 70(1), 213-231. doi:10.32604/cmc.2022.016424ISSN: 1546-2218
  26. Vedika Gupta, Shubham, Agam Madan, Ankit Chaudhary, Qin Xin. “Towards Integrated CNN based Sentiment Analysis of Tweets for Scarce Resource Language- Hindi”. Transactions on Asian and Low-Resource Language Information Processing (2021), 20(5), 1-23. doi: https://doi.org/10.1145/3450447
  27. Jain, Nikita, Vibhuti Bansal, Deepali Virmani, Vedika Gupta, Lorenzo Salas-Morera, and Laura Garcia-Hernandez. “An Enhanced Deep Convolutional Neural Network for Classifying Indian Classical Dance Forms.” Applied Sciences 11, no. 14 (2021): 6253. doi: https://doi.org/10.3390/app11146253. ISSN: 2076-3417
  28. Vedika Gupta, Piyush Katariya, Adarsh Kumar, Senthilkumar Mohan, Ali Ahmadian, and Massimiliano Ferrara. “An emotion care model using multimodal textual analysis on COVID-19.” Chaos, Solitons & Fractals 144 (2021): 110708. doi: https://doi.org/10.1016/j.chaos.2021.110708
  29. Srishti Jhunthra, Harshit Garg, Vedika Gupta, Senthilkumar Mohan, Ali Ahmadian, Soheil Salahshour, and Massimiliano Ferrara. “Prediction modelling of COVID using machine learning methods from B-cell dataset.” Results in Physics21 (2021): 103813. doi: https://doi.org/10.1016/j.rinp.2021.103813
  30. Vedika Gupta, Stuti Juyal, Chirag Killa, Nishant Gupta, Gurvinder Pal Singh. (2020). “Emotion Recognition of Audio/Speech Data using Deep Learning Approaches”. Journal of Information and Optimization Sciences, 41(6), 1309-1317. doi: https://doi.org/10.1080/02522667.2020.1809089
  31. Vedika Gupta, Vivek Kumar Singh, Udayan Ghose, Pankaj Mukhija. (2019). “A quantitative and text-based characterization of big data research”. Journal of Intelligent and Fuzzy Systems, vol. 36(5), pp. 4659-4675, ISSN: 1064-1246 (P), ISSN: 1875-8967 (E), doi: 10.3233/jifs-179016.
  32. Vedika Gupta, Vivek Kumar Singh, Pankaj Mukhija, Udayan Ghose. (2019). “Aspect-based sentiment analysis of mobile reviews”. Journal of Intelligent and Fuzzy Systems, vol. 36(5), pp. 4721-4730, ISSN: 1064-1246 (P), ISSN: 1875-8967 (E), doi: 10.3233/jifs-179021.
  33. Rajesh Piryani, Vedika Gupta, and Vivek Kumar Singh. (2017). “Movie Prism: A novel system for aspect level sentiment profiling of movies.”. Journal of Intelligent & Fuzzy Systems 32(5): 3297-3311. doi: 10.3233/jifs-169272
  34. Rajesh Piryani, Vedika Gupta, Vivek Kumar Singh. (2018) “Generating Aspect-based Extractive Opinion Summary: Drawing Inferences from Social Media Texts”. Computación y Sistemas, 22(1), 83-91. doi: https://doi.org/10.13053/cys-22-1-2784
  35. Rajesh Piryani, Vedika Gupta, Vivek Kumar Singh, David Pinto. (2018) “Book Impact Assessment: A quantitative and text-based exploratory analysis” Journal of Intelligent & Fuzzy Systems, 34(5), 3101-3110. doi: 10.3233/jifs-169494
  36. Vedika Gupta. “Extracting Facts and Dimensions from Unstructured Data for Business Intelligence.” (2013). International Journal of Engineering Research and Technology, ISSN: 2278-0181, pp 2602-2606

In Book:-

  1. Deepawali Sharma, Vedika Gupta, Vivek Kumar Singh, 11 – Abusive comment detection in Tamil using deep learning, Editor(s): D. Jude Hemanth, Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications, Morgan Kaufmann, 2024, Pages 207-226, ISBN 9780443220098, https://doi.org/10.1016/B978-0-443-22009-8.00001-X
  2. Juyal, Stuti, Chirag Killa, Gurvinder Pal Singh, Nishant Gupta, and Vedika Gupta. (2021). “Emotion Recognition from Speech Using Deep Neural Network”. In Concepts and Real-Time Applications of Deep Learning (pp. 3-39). Springer, Cham. doi: https://doi.org/10.1007/978-3-030-76167-7_1
  3. Ankit Chaudhary, Vedika Gupta, KC Santosh. (2020) “COVID-19 on Air Quality Index (AQI): A necessary evil?”. COVID-19: Prediction, Decision-Making, and its Impacts, Springer. doi: https://doi.org/10.1007/978-981-15-9682-7_14
  4. Vedika Gupta, Rohan Arora, Shreya Dhingra, Piyush Katariya, Adarsh Kumar. “Sketching Emotional Anatomy from Social Media amidst COVID-19”. Sustainability Measures for COVID-19 pandemic. Springer [In Press].
  5. Madhav Kindra, Harshit Garg, Srishti Jhunthra, Vikrant Dixit, and Vedika Gupta. (2021) “Song Recommendation Using Computational Techniques Based on Mood Detection”. Computational Intelligence for Information Retrieval, CRC Press. doi: 10.1201/9781003134138-6
  6. Tarushee Kumar, Sudhanshu Sharma, Anirudh Sharma, Jatin Malhotra, and Vedika Gupta. (2021). “Using Flutter to Develop a Hybrid Application of Augmented Reality”. Computational Intelligence for Information Retrieval, CRC Press. doi: 10.1201/9781003134138-9
  7. Dhruv Chadha, Nikita Jain, and Vedika Gupta. (2021). “Predicting Melanoma Tumor Size through Machine Learning Approaches”. Computational Intelligence for Information Retrieval, CRC Press. doi: 10.1201/9781003134138-11
  8. Madhav Kindra, Vikrant Dixit, and Vedika Gupta. (2021). “A Fuzzy-Based Approach for Characterization and Identification of Sentiments”. Computational Intelligence for Information Retrieval, CRC Press. doi: 10.1201/9781003134138-12
  9. Gaurav Kataria, Akansh Gupta, V. Sirish Kaushik, Gopal Chaudhary, and Vedika Gupta. (2021). “Fingerprint Alterations Type Detection and Gender Recognition Using Convolutional Neural Networks and Transfer Learning”. Computational Intelligence for Information Retrieval, CRC Press. doi: 10.1201/9781003134138-13

In Conferences:-

  1. Hasija, P. Rustagi, N. Rathore and Vedika Gupta, “Cryptographic Foundations: A Comprehensive Review of Block Cipher and Stream Cipher Concepts,” 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 1302-1306, doi: 10.23919/INDIACom61295.2024.10498260.
  2. A. Shifa, M. U. Mojumdar, M. M. Rahman, N. R. Chakraborty and Vedika Gupta, “Machine Learning Models for Maternal Health Risk Prediction based on Clinical Data,” 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 1312-1318, doi: 10.23919/INDIACom61295.2024.10498822.
  3. M. Rahman, M. U. Mojumdar, M. M. Jamil, N. R. Chakraborty, R. Hasan and Vedika Gupta, “Flower Identification by Deep Learning Approach and Computer Vision,” 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 1355-1360, doi: 10.23919/INDIACom61295.2024.10498434.
  4. Sharma, Deepawali, Vedika Gupta, and Vivek Kumar Singh. “Detection of homophobia & transphobia in Malayalam and Tamil: Exploring deep learning methods.” International Conference on Advanced Network Technologies and Intelligent Computing. Cham: Springer Nature Switzerland, 2022. DOI: 10.1007/978-3-031-28183-9_15
  5. Jhunthra, Srishti, Harshit Garg, and Vedika Gupta. “Identifying the relationship between hypothesis and premise.” International Conference on Recent Trends in Image Processing and Pattern Recognition. Cham: Springer Nature Switzerland, 2022. DOI: https://doi.org/10.1007/978-3-031-23599-3_29
  6. Sachdeva, Jatin, Mudit Gupta, Shikhar Gupta, Deepak Aggarwal, and Vedika Gupta. “Review of Signboard Transliteration Using Deep Learning.” In Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing: IEM-ICDC 2020, vol. 62, p. 407. Springer Nature, 2021.
  7. Sai Raina, Amol Mathur, Charu Arora, Vedika Gupta (2020). “A novel method for Hostility Management”. Lecture Notes on Data Engineering and Communications Technologies, Vol. 62: Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing, 978-981-33-4967-4.
  8. Piryani, Rajesh, Vedika Gupta, Vivek Kumar Singh, and Udayan Ghose. (2016). “A Linguistic Rule-Based Approach for Aspect-Level Sentiment Analysis of Movie Reviews.” In Advances in Computer and Computational Sciences (ICCCCS- 2016), Springer, Singapore, 2017, pp. 201-209. doi: https://doi.org/10.1007/978-981-10-3770-2_19
  9. Vedika Gupta, Rajesh Piryani, Vivek Kumar Singh, and Udayan Ghose. (2016) “An Analytical Review of sentiment analysis on Twitter” in 1st International Conference on Advances in Computing, Control and Communication Technology (IAC3T) March 25-27 2016, University of Allahabad, Allahabad, India, pp. 219–225
  10. Vedika Gupta, Abishek Aggarwal and Udayan Ghose. (2016). “Rule based Information Leveraging from Business Invoices: Exploiting the limited structure,” in International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT) March 11-13, 2016, New Delhi, India, pp 89-94. doi: 1109/icctict.2016.7514613
  11. Rajesh Piryani, Vedika Gupta, Vivek Kumar Singh, and Udayan Ghose. (2016). “Detecting Aspects and Opinion Polarities from Movie Reviews,” in 1st International Conference on Advances in Computing, Control and Communication Technology (IAC3T) March 25-27 2016, University of Allahabad, Allahabad, India, 69–75
  12. Vedika Gupta, Nitasha Rathore. (2013). “Deriving Business Intelligence from Unstructured Data.” Advancements in Computing Sciences, Information Techniques & Emerging E-Learning Technologies”(ACSITEET– 2013), Published in International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 9 (2013), pp. 971-976
  13. Vedika Gupta, Anjana Gosain. (2013). “A Comprehensive Review of Unstructured Data Management Approaches in Data Warehouse”. August 2013 International Symposium on Computational and Business Published in IEEE Xplore, IEEE CSDL, ISBN: 978-0-7695-5066-4, pp 64-67.

Patent:-

  1. Soni, Mukesh; Singh, Dileep Kumar; Gupta, Vedika; Hasan, Asif; Dhiman, Gaurav; Churi, Prathamesh; Khan, Ihtiram Raza; Sharma, Tripti; doewes, Rumi iqbal and Gomathi, S. “Privacy-preserving Authentication and Key-Management Protocol for Health Information System”. March 2021. Australian Patent number: 2021101195.

Book:-

  1. Dharmender Saini, Gopal Chaudhary & Vedika Gupta. “Computational Intelligence for Information Retrieval”. December 2021. CRC Press. ISBN- 978-0-367-68080.

Special Issue:-

Vedika Gupta, Vivek Kumar Singh, David Pinto, Sriparna Saha & Rajesh Sharma. “Datasets, Language Resources and Algorithmic Approaches on Online Wellbeing and Social Order in Asian Languages”. Social Network Analysis and Mining. February 2024.Springer [Ongoing].

Social and Web Analytics( IBM Industry Elective)

Natural Language Processing (Online MBA- UpGrad)

Social Media Analytics (IBM/MBA)

Artificial Intelligence (Online MBA-Coursera)

Social Media Analytics (Global MBA)

Database Management Systems with SQL (Online MBA-Coursera)

Social Media Analytics for Managers (Cross-Elective)

Introduction to Spreadsheets

Deepawali Sharma, Vedika Gupta & Vivek Kumar Singh (2024). "Stop the hate, spread the hope: An ensemble model for Hope Speech detection in English and Dravidian languages". ACM Transactions on Asian and Low-Resource Language Information Processing (Accepted)

Deepawali Sharma, Vedika Gupta & Vivek Kumar Singh (2024). “Should we stay silent on violence? An ensemble approach to detect violent incidents in Spanish social media texts”. Natural Language Processing. (In-press)

Deepawali Sharma, Vedika Gupta & Vivek Kumar Singh. “TABHATE: A Target-based Hate Speech Detection Dataset in Hindi”. 9th International Symposium on Language & Knowledge Engineering LKE 2024 (Accepted) to be published at SN Computer Science, Springer.

Srishti Jhunthra, Rahul Goel, Shakshi Sharma, Vedika Gupta, Rajesh Sharma and Pranav Dass (2024). "Understanding user polarisation regarding COVID-19 Vaccines through social network analysis " Journal of Discrete Mathematical Sciences & Cryptography. (In Press)

Deepawali Sharma, Vedika Gupta, Vivek Kumar Singh, 11 - Abusive comment detection in Tamil using deep learning, Editor(s): D. Jude Hemanth, Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications, Morgan Kaufmann, 2024, Pages 207-226, ISBN 9780443220098, https://doi.org/10.1016/B978-0-443-22009-8.00001-X

U. Hasija, P. Rustagi, N. Rathore and Vedika Gupta, "Cryptographic Foundations: A Comprehensive Review of Block Cipher and Stream Cipher Concepts," 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 1302-1306, doi: 10.23919/INDIACom61295.2024.10498260.

H. A. Shifa, M. U. Mojumdar, M. M. Rahman, N. R. Chakraborty and Vedika Gupta, "Machine Learning Models for Maternal Health Risk Prediction based on Clinical Data," 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 1312-1318, doi: 10.23919/INDIACom61295.2024.10498822.

M. M. Rahman, M. U. Mojumdar, M. M. Jamil, N. R. Chakraborty, R. Hasan and Vedika Gupta, "Flower Identification by Deep Learning Approach and Computer Vision," 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2024, pp. 1355-1360, doi: 10.23919/INDIACom61295.2024.10498434.

Vedika Gupta, Vivek Kumar Singh, David Pinto, Sriparna Saha & Rajesh Sharma. “Datasets, Language Resources and Algorithmic Approaches on Online Wellbeing and Social Order in Asian Languages”. Social Network Analysis and Mining. February 2024.Springer [Ongoing].

Vashishtha, Srishti, Vedika Gupta, and Mamta Mittal. "Sentiment analysis using fuzzy logic: A comprehensive literature review." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13.5 (2023): e1509. DOI: https://doi.org/10.1002/widm.1509

Jain, Nikita, Vedika Gupta, Usman Tariq, and D. Jude Hemanth. "Fast violence recognition in video surveillance by integrating object detection and Conv-LSTM." International Journal on Artificial Intelligence Tools 32, no. 03 (2023): 2340018. DOI: https://doi.org/10.1142/S0218213023400183

Gupta, Vedika, Harshit Gaur, Srishti Vashishtha, Uttirna Das, Vivek Kumar Singh, and D. Jude Hemanth. "A fuzzy rule‐based system with decision tree for breast cancer detection." IET Image Processing 17, no. 7 (2023): 2083-2096. ISSN: 1751-9659 Doi: https://doi.org/10.1049/ipr2.12774

Jain, Nikita, Vedika Gupta, Usman Tariq, and D. Jude Hemanth. "Fast Violence Recognition in Video Surveillance by Integrating Object Detection and Conv-LSTM." International Journal on Artificial Intelligence Tools 32, no. 03 (2023): 2340018. Doi: https://doi.org/10.1142/S0218213023400183

Vashishtha, Srishti, Vedika Gupta, and Mamta Mittal. "Sentiment analysis using fuzzy logic: A comprehensive literature review." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13, no. 5 (2023): e1509.ISSN: 1942-4787 Doi: https://doi.org/10.1002/widm.1509

Md Arman Hossen, Md Merazur Rahman, Md Nabil Ahmed Nahid, Rafiul Islam, Sumit Kumar Banshal, Vedika Gupta, and Pranav Dass. "Impact on GDP and the stock market during pandemics or epidemics of 21st century." Journal of Interdisciplinary Mathematics 26, no. 5 pp.951–971 (2023). ISSN: 0972-0502 doi: https://doi.org/10.47974/JIM-1533

Qian, Cheng, Nitya Mathur, Nor Hidayati Zakaria, Rameshwar Arora, Vedika Gupta, and Mazlan Ali. "Understanding public opinions on social media for financial sentiment analysis using AI-based techniques." Information Processing & Management 59, no. 6 (2022): 103098. ISSN: 0306-4573 DOI: https://doi.org/10.1016/j.ipm.2022.103098

Bansal, Vibhuti, Mrinal Tyagi, Rajesh Sharma, Vedika Gupta, and Qin Xin. "A Transformer Based Approach for Abuse Detection in Code Mixed Indic Languages." ACM Transactions on Asian and Low-Resource Language Information Processing (2022). (In press ) ISSN: 2375-4699 DOI: https://doi.org/10.1145/3571818

Raman, Shatakshi, Vedika Gupta, Preeti Nagrath, and K. C. Santosh. "Hate and aggression analysis in NLP with explainable AI." International Journal of Pattern Recognition and Artificial Intelligence 36, no. 15 (2022): 2259036. ISSN: 0218-0014 DOI: https://doi.org/10.1142/S0218001422590364

Vedika Gupta, Nikita Jain, Jatin Sachdeva, Mudit Gupta, Mohd Yazid Bajuri, Yu Mingchu. “Improved Covid-19 Detection With Chest X-ray Images Using Deep Learning”. Multimedia Tools and Applications 81, no. 26 (2022): 37657-37680. ISSN: 1380-7501 doi: https://doi.org/10.1007/s11042-022-13509-4

Vedika Gupta, Piyush Katariya, Rohan Arora, Adarsh Kumar, Shreya Dhingra, Qin Xin, and Jude Hemanth. “A Deep Neural Network based Approach for Fake News Detection in Regional Language”. International Journal of Web Information Systems 18, no. 5/6 (2022): 286-309. ISSN: 1744-0084 doi: https://doi.org/10.1108/IJWIS-02-2022-0036

Vedika Gupta, Nikita Jain, Deepali Virmani, Senthilkumar Mohan, Ali Ahmadian, and Massimiliano Ferrara. “Air and Water Health: Industrial Footprints of COVID-19 Imposed Lockdown in India”. Arabian Journal of Geosciences 15, no. 8 (2022): 687.

Gupta, Vedika, Pranav Dass, and Rameshwar Arora. "Pendulating or resonating? a case of echo-chambers in twitter." Journal of Discrete Mathematical Sciences and Cryptography 25, no. 1 (2022): 231-240. ISSN: 0972-0529 DOI: https://doi.org/10.1080/09720529.2021.2019442

Gupta, Vedika, Pranav Dass, Vibhuti Bansal, and Rameshwar Arora. "A truncated deep neural network for identifying age groups in real time images." Journal of Interdisciplinary Mathematics 25, no. 3 (2022): 851-861. ISSN: 09720502 DOI: https://doi.org/10.1080/09720502.2021.2016917

Sharma, Deepawali, Vedika Gupta, and Vivek Kumar Singh. "Detection of homophobia & transphobia in Malayalam and Tamil: Exploring deep learning methods." International Conference on Advanced Network Technologies and Intelligent Computing. Cham: Springer Nature Switzerland, 2022. DOI: 10.1007/978-3-031-28183-9_15

Jhunthra, Srishti, Harshit Garg, and Vedika Gupta. "Identifying the relationship between hypothesis and premise." International Conference on Recent Trends in Image Processing and Pattern Recognition. Cham: Springer Nature Switzerland, 2022. DOI: https://doi.org/10.1007/978-3-031-23599-3_29

Nikita Jain , Vedika Gupta, Agam Madan, Deepali Virmani. (2021). “Analytical and Empirical Assessment on the role of Bacillus Calmette-Guérin to combat COVID-19” Cmc-Computers Materials & Continua, 70(1), 213-231. doi:10.32604/cmc.2022.016424 ISSN: 1546-2218

Vedika Gupta, K. C. Santosh, Rameshwar Arora, Tiziana Ciano, and Senthilkumar Mohan. "Socio-economic impact due to COVID-19: An Empirical Assessment." Information Processing & Management (2021), Volume 59, Issue 2, 102810. doi: https://doi.org/10.1016/j.ipm.2021.102810 ISSN: 0306-4573

Stuti Juyal, Vedika Gupta, Yu-Chen Hu. “Analyzing Deep Neural Network architecture and bag of visual words technique on speech spectrograms for recognition of emotions”. The Journal of Supercomputing. Springer (2021) Volume 78, pages 6944–6973. doi: https://doi.org/10.1007/s11227-021-04124-5 ISSN: 0920-8542

Harshit Garg, Vedika Gupta, Srishti Jhunthra. (2021). “Predicting Attributes based Movie success through Ensemble Machine Learning”. Multimedia Tools and Applications, Springer. Volume 82, pages 9597–9626 doi: https://doi.org/10.1007/s11042-021-11553-0 ISSN: 1380-7501

Shubham, S., Jain, N., Gupta, V., Mohan, S., Ariffin, M. M., & Ahmadian, A. (2021). “Identify glomeruli in human kidney tissue images using a deep learning approach”. Soft Computing, Volume 27, pages 2705–2716. doi: https://doi.org/10.1007/s00500-021-06143-z ISSN: 1432-7643

Shubham, Vedika Gupta, Agam Madan, Ankit Chaudhary, KC Santosh. “Understanding Cartoon Emotion using Deep Neural Networks on Large Dataset”. Neural Computing and Applications (2021): Volume 34, pages 21481–21501. doi: https://doi.org/10.1007/s00521-021-06003-9

Vedika Gupta, Shubham, Agam Madan, Ankit Chaudhary, Qin Xin. “Towards Integrated CNN based Sentiment Analysis of Tweets for Scarce Resource Language- Hindi”. Transactions on Asian and Low-Resource Language Information Processing (2021), 20(5), 1-23. doi: https://doi.org/10.1145/3450447

Jain, Nikita, Vibhuti Bansal, Deepali Virmani, Vedika Gupta, Lorenzo Salas-Morera, and Laura Garcia-Hernandez. "An Enhanced Deep Convolutional Neural Network for Classifying Indian Classical Dance Forms." Applied Sciences 11, no. 14 (2021): 6253. doi: https://doi.org/10.3390/app11146253. ISSN: 2076-3417

Vedika Gupta, Piyush Katariya, Adarsh Kumar, Senthilkumar Mohan, Ali Ahmadian, and Massimiliano Ferrara. "An emotion care model using multimodal textual analysis on COVID-19." Chaos, Solitons & Fractals 144 (2021): 110708. doi: https://doi.org/10.1016/j.chaos.2021.110708

Srishti Jhunthra, Harshit Garg, Vedika Gupta, Senthilkumar Mohan, Ali Ahmadian, Soheil Salahshour, and Massimiliano Ferrara. "Prediction modelling of COVID using machine learning methods from B-cell dataset." Results in Physics 21 (2021): 103813. doi: https://doi.org/10.1016/j.rinp.2021.103813

Juyal, Stuti, Chirag Killa, Gurvinder Pal Singh, Nishant Gupta, and Vedika Gupta. (2021). “Emotion Recognition from Speech Using Deep Neural Network”. In Concepts and Real-Time Applications of Deep Learning (pp. 3-39). Springer, Cham. doi: https://doi.org/10.1007/978-3-030-76167-7_1

Madhav Kindra, Harshit Garg, Srishti Jhunthra, Vikrant Dixit, and Vedika Gupta. (2021) “Song Recommendation Using Computational Techniques Based on Mood Detection”. Computational Intelligence for Information Retrieval, CRC Press. doi: 10.1201/9781003134138-6

Tarushee Kumar, Sudhanshu Sharma, Anirudh Sharma, Jatin Malhotra, and Vedika Gupta. (2021). “Using Flutter to Develop a Hybrid Application of Augmented Reality”. Computational Intelligence for Information Retrieval, CRC Press. doi: 10.1201/9781003134138-9

Dhruv Chadha, Nikita Jain, and Vedika Gupta. (2021). “Predicting Melanoma Tumor Size through Machine Learning Approaches”. Computational Intelligence for Information Retrieval, CRC Press. doi: 10.1201/9781003134138-11

Madhav Kindra, Vikrant Dixit, and Vedika Gupta. (2021). “A Fuzzy-Based Approach for Characterization and Identification of Sentiments”. Computational Intelligence for Information Retrieval, CRC Press. doi: 10.1201/9781003134138-12

Gaurav Kataria, Akansh Gupta, V. Sirish Kaushik, Gopal Chaudhary, and Vedika Gupta. (2021). “Fingerprint Alterations Type Detection and Gender Recognition Using Convolutional Neural Networks and Transfer Learning”. Computational Intelligence for Information Retrieval, CRC Press. doi: 10.1201/9781003134138-13

Soni, Mukesh; Singh, Dileep Kumar; Gupta, Vedika; Hasan, Asif; Dhiman, Gaurav; Churi, Prathamesh; Khan, Ihtiram Raza; Sharma, Tripti; doewes, Rumi iqbal and Gomathi, S. “Privacy-preserving Authentication and Key-Management Protocol for Health Information System”. March 2021. Australian Patent number: 2021101195.

Dharmender Saini, Gopal Chaudhary & Vedika Gupta. “Computational Intelligence for Information Retrieval”. December 2021. CRC Press. ISBN- 978-0-367-68080.

Vedika Gupta, Stuti Juyal, Chirag Killa, Nishant Gupta, Gurvinder Pal Singh. (2020). “Emotion Recognition of Audio/Speech Data using Deep Learning Approaches”. Journal of Information and Optimization Sciences, 41(6), 1309-1317. doi: https://doi.org/10.1080/02522667.2020.1809089

Ankit Chaudhary, Vedika Gupta, KC Santosh. (2020) “COVID-19 on Air Quality Index (AQI): A necessary evil?”. COVID-19: Prediction, Decision-Making, and its Impacts, Springer. doi: https://doi.org/10.1007/978-981-15-9682-7_14

Sachdeva, Jatin, Mudit Gupta, Shikhar Gupta, Deepak Aggarwal, and Vedika Gupta. "Review of Signboard Transliteration Using Deep Learning." In Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing: IEM-ICDC 2020, vol. 62, p. 407. Springer Nature, 2021.

Sai Raina, Amol Mathur, Charu Arora, Vedika Gupta (2020). “A novel method for Hostility Management”. Lecture Notes on Data Engineering and Communications Technologies, Vol. 62: Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing, 978-981-33-4967-4.

Vedika Gupta, Vivek Kumar Singh, Udayan Ghose, Pankaj Mukhija. (2019). “A quantitative and text-based characterization of big data research”. Journal of Intelligent and Fuzzy Systems, vol. 36(5), pp. 4659-4675, ISSN: 1064-1246 (P), ISSN: 1875-8967 (E), doi: 10.3233/jifs-179016.

Vedika Gupta, Vivek Kumar Singh, Pankaj Mukhija, Udayan Ghose. (2019). “Aspect-based sentiment analysis of mobile reviews”. Journal of Intelligent and Fuzzy Systems, vol. 36(5), pp. 4721-4730, ISSN: 1064-1246 (P), ISSN: 1875-8967 (E), doi: 10.3233/jifs-179021.

Rajesh Piryani, Vedika Gupta, Vivek Kumar Singh. (2018) “Generating Aspect-based Extractive Opinion Summary: Drawing Inferences from Social Media Texts”. Computación y Sistemas, 22(1), 83-91. doi: https://doi.org/10.13053/cys-22-1-2784

Rajesh Piryani, Vedika Gupta, Vivek Kumar Singh, David Pinto. (2018) “Book Impact Assessment: A quantitative and text-based exploratory analysis” Journal of Intelligent & Fuzzy Systems, 34(5), 3101-3110. doi: 10.3233/jifs-169494

Rajesh Piryani, Vedika Gupta, and Vivek Kumar Singh. (2017). "Movie Prism: A novel system for aspect level sentiment profiling of movies.". Journal of Intelligent & Fuzzy Systems 32(5): 3297-3311. doi: 10.3233/jifs-169272

Piryani, Rajesh, Vedika Gupta, Vivek Kumar Singh, and Udayan Ghose. (2016). "A Linguistic Rule-Based Approach for Aspect-Level Sentiment Analysis of Movie Reviews." In Advances in Computer and Computational Sciences (ICCCCS- 2016), Springer, Singapore, 2017, pp. 201-209. doi: https://doi.org/10.1007/978-981-10-3770-2_19

Vedika Gupta, Rajesh Piryani, Vivek Kumar Singh, and Udayan Ghose. (2016) “An Analytical Review of sentiment analysis on Twitter” in 1st International Conference on Advances in Computing, Control and Communication Technology (IAC3T) March 25-27 2016, University of Allahabad, Allahabad, India, pp. 219–225

Vedika Gupta, Abishek Aggarwal and Udayan Ghose. (2016). “Rule based Information Leveraging from Business Invoices: Exploiting the limited structure,” in International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT) March 11-13, 2016, New Delhi, India, pp 89-94. doi: 10.1109/icctict.2016.7514613

Rajesh Piryani, Vedika Gupta, Vivek Kumar Singh, and Udayan Ghose. (2016). “Detecting Aspects and Opinion Polarities from Movie Reviews,” in 1st International Conference on Advances in Computing, Control and Communication Technology (IAC3T) March 25-27 2016, University of Allahabad, Allahabad, India, pp. 69–75

Vedika Gupta. “Extracting Facts and Dimensions from Unstructured Data for Business Intelligence.” (2013). International Journal of Engineering Research and Technology, ISSN: 2278-0181, pp 2602-2606

Vedika Gupta, Nitasha Rathore. (2013). “Deriving Business Intelligence from Unstructured Data.” Advancements in Computing Sciences, Information Techniques & Emerging E-Learning Technologies”(ACSITEET– 2013), Published in International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 9 (2013), pp. 971-976

Vedika Gupta, Anjana Gosain. (2013). “A Comprehensive Review of Unstructured Data Management Approaches in Data Warehouse”. August 2013 International Symposium on Computational and Business Intelligence. Published in IEEE Xplore, IEEE CSDL, ISBN: 978-0-7695-5066-4, pp 64-67.
Email vgupta2@jgu.edu.in
ORCID ID 0000-0002-8109-498X
Key Expertise Social Media Analytics, Natural Language Processing, Sentiment Analysis, Information Retrieval, Emotion Recognition
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