When topics replace argument: a methodological critique of LDA applied to Taha Hussein PS Vadivel, S Khatun Digital Scholarship in the Humanities, fqag039 , 2026 2026
The Algorithmic Muse: Can AI Truly Master Creative Writing? PS Vadivel Communications of the ACM 69 (3), 20-23 , 2026 2026
Customer Satisfaction through Mobile Applications: Conceptualising Mobile Atmospherics Using Structured Topic Modelling A Arora, PS Vadivel, S Deshmukh Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior … , 2025 2025 Citations: 1
Shifting Sentiments: Analyzing Social Media Discussions on M-Payment Apps Over Time N Pushparaj, SV Praveen Intersecting Natural Language Processing and FinTech Innovations in Service … , 2025 2025
Crafting clarity: Leveraging large language models to decode consumer reviews SV Praveen, P Gajjar, RK Ray, A Dutt Journal of Retailing and Consumer Services 81, 103975 , 2024 2024 Citations: 52
Critique: Sentiment-topic dynamic collaborative analysis-based public opinion mapping in aviation disaster management: A case study of the MU5735 air crash SV Praveen, S Sourav, D Kasilingam International Journal of Disaster Risk Reduction 108, 104546 , 2024 2024 Citations: 2
Critique: sentiment-topic dynamic collaborative analysis-based public opinion mapping in aviation disaster management: a case study of the MU5735 air crash P SV International Journal of Disaster Risk Reduction 108, 104546 , 2024 2024 Citations: 3
Examining otolaryngologists’ attitudes towards large language models (LLMs) such as ChatGPT: a comprehensive deep learning analysis SV Praveen, S Vijaya European Archives of Oto-Rhino-Laryngology 281 (2), 1061-1063 , 2024 2024 Citations: 4
Critique of the paper,‘Public's perception on nursing education during the COVID-19 Pandemic: Sentiment Analysis of Twitter Data’ SV Praveen, S Vijaya International Journal of Disaster Risk Reduction 101, 104232 , 2024 2024 Citations: 2
Critique of the paper,'Investigating the attitude and perspectives of Indian citizens toward COVID-19 vaccines: A text analytics study' P SV, P Gajjar International Journal of Disaster Risk Reduction 100, 104104 , 2024 2024
Internet of Things Enhanced Maritime Robot for Ocean Waste Cleanup RA IB, SV Praveen Journal of Electronics and Informatics 6, 270-277 , 2024 2024 Citations: 3
Exploring infection clinicians' perceptions of bias in Large Language Models (LLMs) like ChatGPT: A deep learning study SV Praveen, S Vijaya Journal of Infection 87 (6), 579-580 , 2023 2023 Citations: 1
Can ChatGPT be trusted for consulting? Uncovering doctor’s perceptions using deep learning techniques SV Praveen, V Vajrobol Annals of biomedical engineering 51 (10), 2116-2119 , 2023 2023 Citations: 22
Exploring the perspective of infection clinicians on the integration of Large Language Models (LLMs) in clinical practice: A deep learning study in healthcare SV Praveen, R Deepika Journal of Infection 87 (4), e68-e69 , 2023 2023 Citations: 7
Environmental health risks after the 2023 Turkey-Syria earthquake and salient mitigating strategies: a critical appraisal SK Ahmed, D Chandran, S Hussein, P Sv, S Chakraborty, MR Islam, ... Environmental Health Insights 17, 11786302231200865 , 2023 2023 Citations: 53
Understanding the perceptions of healthcare researchers regarding ChatGPT: a study based on bidirectional encoder representation from transformers (BERT) sentiment analysis and … SV Praveen, V Vajrobol Annals of biomedical engineering 51 (8), 1654-1656 , 2023 2023 Citations: 72
Unveiling the perceptions of Syrian and Turkish citizens afflicted by survivor guilt in the aftermath of the 2023 earthquake: A study based on deep learning SV Praveen, R Deepika Asian journal of psychiatry 86, 103672 , 2023 2023 Citations: 3
What do psychiatry researchers feel about ChatGPT? A study based on Natural Language Processing techniques SV Praveen, R Lohia Asian journal of psychiatry 85, 103626 , 2023 2023 Citations: 10
Towards building text-to-speech systems for the next billion users GK Kumar, SV Praveen, P Kumar, MM Khapra, K Nandakumar Icassp 2023-2023 ieee international conference on acoustics, speech and … , 2023 2023 Citations: 42
Assessment of health‐related behaviors among medical students: A cross‐sectional study RGA El‐Kader, RJ Ogale, OO Zidan, O Al Jadaan, V Kumardhas, ... Health science reports 6 (6), e1310 , 2023 2023 Citations: 8
MOST CITED SCHOLAR PUBLICATIONS
Analyzing the attitude of Indian citizens towards COVID-19 vaccine–A text analytics study SV Praveen, R Ittamalla, G Deepak Diabetes & Metabolic Syndrome: Clinical Research & Reviews 15 (2), 595-599 , 2021 2021 Citations: 149
Understanding the perceptions of healthcare researchers regarding ChatGPT: a study based on bidirectional encoder representation from transformers (BERT) sentiment analysis and … SV Praveen, V Vajrobol Annals of biomedical engineering 51 (8), 1654-1656 , 2023 2023 Citations: 72
Monkeypox vaccines and vaccination strategies: Current knowledge and advances. An update–Correspondence S Chakraborty, RK Mohapatra, D Chandran, M Alagawany, P Sv, ... International Journal of Surgery 105, 106869 , 2022 2022 Citations: 71
Analyzing Indian general public’s perspective on anxiety, stress and trauma during Covid-19-a machine learning study of 840,000 tweets SV Praveen, R Ittamalla, G Deepak Diabetes & Metabolic Syndrome: Clinical Research & Reviews 15 (3), 667-671 , 2021 2021 Citations: 64
Indian citizen's perspective about side effects of COVID-19 vaccine–A machine learning study P Sv, J Tandon, H Hinduja Diabetes & Metabolic Syndrome: Clinical Research & Reviews 15 (4), 102172 , 2021 2021 Citations: 55
Environmental health risks after the 2023 Turkey-Syria earthquake and salient mitigating strategies: a critical appraisal SK Ahmed, D Chandran, S Hussein, P Sv, S Chakraborty, MR Islam, ... Environmental Health Insights 17, 11786302231200865 , 2023 2023 Citations: 53
Crafting clarity: Leveraging large language models to decode consumer reviews SV Praveen, P Gajjar, RK Ray, A Dutt Journal of Retailing and Consumer Services 81, 103975 , 2024 2024 Citations: 52
Towards building text-to-speech systems for the next billion users GK Kumar, SV Praveen, P Kumar, MM Khapra, K Nandakumar Icassp 2023-2023 ieee international conference on acoustics, speech and … , 2023 2023 Citations: 42
Twitter-based sentiment analysis and topic modeling of social media posts using natural language processing, to understand people’s perspectives regarding COVID-19 booster … P Sv, JM Lorenz, R Ittamalla, K Dhama, C Chakraborty, DVS Kumar, ... Vaccines 10 (11), 1929 , 2022 2022 Citations: 33
What concerns the general public the most about monkeypox virus?–A text analytics study based on Natural Language Processing (NLP) P Sv, R Ittamalla Travel Medicine and Infectious Disease 49, 102404 , 2022 2022 Citations: 32
What concerns Indian general public on second wave of COVID-19? A report on social media opinions P Sv, R Lathabhavan, R Ittamalla Diabetes & metabolic syndrome 15 (3), 829 , 2021 2021 Citations: 31
General public’s attitude toward governments implementing digital contact tracing to curb COVID-19–a study based on natural language processing P SV, R Ittamalla International Journal of Pervasive Computing and Communications 18 (5), 485-490 , 2022 2022 Citations: 30
An analysis of attitude of general public toward COVID-19 crises–sentimental analysis and a topic modeling study P SV, R Ittamalla Information Discovery and Delivery 49 (3), 240-249 , 2021 2021 Citations: 28
Can ChatGPT be trusted for consulting? Uncovering doctor’s perceptions using deep learning techniques SV Praveen, V Vajrobol Annals of biomedical engineering 51 (10), 2116-2119 , 2023 2023 Citations: 22
Beneficial impacts of goat milk on the nutritional status and general well-being of human beings: anecdotal evidence. KN Navamniraj, K Sivasabari, JA Indu, D Krishnan, MR Anjali, PR Akhil, ... 2023 Citations: 20
How optimistic do citizens feel about digital contact tracing?–Perspectives from developing countries P SV, R Ittamalla, D Subramanian International Journal of Pervasive Computing and Communications 18 (5), 518-526 , 2022 2022 Citations: 20
SARS-CoV-2 emerging Omicron subvariants with a special focus on BF. 7 and XBB. 1.5 recently posing fears of rising cases amid ongoing COVID-19 pandemic. K Dhama, D Chandran, H Chopra, MA Islam, TB Emran, MEU Rehman, ... 2022 Citations: 16
Analyzing Indian citizen's perspective towards government using wearable sensors to tackle COVID-19 crisis—A text analytics study SV Praveen, R Ittamalla Health Policy and Technology 10 (2), 100521 , 2021 2021 Citations: 16
Psychological issues COVID-19 survivors face—a text analysis study P SV, R Ittamalla Journal of Loss and Trauma 26 (4), 405-407 , 2021 2021 Citations: 15
Challenges in successful implementation of Digital contact tracing to curb COVID-19 from global citizen’s perspective: A text analysis study P SV, R Ittamalla, D Subramanian International Journal of Pervasive Computing and Communications 18 (5), 491-498 , 2022 2022 Citations: 14
