Longitudinal abuse and sentiment analysis of Hollywood movie dialogues using language models

Used LLMs for sentiment and abuse analysis of Hollywood movie dialogues. Analyzed 1,000+ movie subtitles to track trends in emotion and abuse

Chandra, R., & Ren, G.

Machine Learning with Applications, Volume 22, December 2025, 100749

Unsupervised Machine Learning Framework for Identification of Spatial Distribution of Minerals on Mars

We present a machine learning framework to map the spatial distribution of minerals on Mars. Our framework utilises the Self-Organising Map and k-means clustering to identify clusters of spectral signatures of minerals.

Lovelock, Tejay, and Rohitash Chandra

Remote Sensing 17 (21) (2025) 3578 https://doi.org/10.3390/rs17213578

HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models

We present a computational framework for analyzing anti-Hindu sentiment (Hinduphobia) during the COVID-19 period, introducing an abuse detection and sentiment analysis approach for longitudinal analysis on X.

Singh, A., & Chandra, R.

IEEE Access, vol. 13, pp. 175309-175335, 2025, https://doi.org/10.1109/ACCESS.2025.3617514

An Evaluation of LLMs and Google Translate for Translation of Selected Indian Languages via Sentiment and Semantic Analyses

This study addresses this limitation by using semantic and sentiment analysis of selected LLMs for Indian languages, including Sanskrit, Telugu and Hindi. We select prominent texts (Bhagavad Gita, Tamas and Maha Prasthanam) that have been well translated by experts and use LLMs to generate their translations into English, and provide a comparison with selected expert (human) translations.

R. Chandra, A. Chaudhari and Y. Rayavarapu

IEEE Access, vol. 13, pp. 122386-122407, 2025, https://doi.org/10.1109/ACCESS.2025.3585629

An Analysis of Vaccine-Related Sentiments on Twitter (X) from Development to Deployment of COVID-19 Vaccines

Anti-vaccine sentiments have been well-known and reported throughout the history of viral outbreaks and vaccination programmes. The COVID-19 pandemic caused fear and uncertainty about vaccines, which has been well expressed on social media platforms such as Twitter (X). We analyse sentiments from the beginning of the COVID-19 pandemic and study the public behaviour on X during the planning, development, and deployment of vaccines expressed in tweets worldwide using a sentiment analysis framework via deep learning models. We provide visualisation and analysis of anti-vaccine sentiments throughout the COVID-19 pandemic. We review the nature of the sentiments expressed with the number of tweets and monthly COVID-19 infections. Our results show a link between the number of tweets, the number of cases, and the change in sentiment polarity scores during major waves of COVID-19. We also find that the first half of the pandemic had drastic changes in the sentiment polarity scores that later stabilised, implying that the vaccine rollout impacted the nature of discussions on social media.

Rohitash Chandra, Jayesh Sonawane, Jahnavi Lande

Big Data Cogn. Comput. 2024, 8(12), 186; https://doi.org/10.3390/bdcc8120186

Science and Hinduism share the vision of a quest for truth

Hinduism seeks to provide insight into the nature of the universe and is not antithetical to science. Rohitash Chandra explains why he sees value in bringing together science and spirituality in the quest for knowledge. – “I envision a world where we are fearless in bringing science and religion (spirituality) together. Hinduism is built on the philosophical foundations of the search for the truth and shares this vision with modern science. However, the focus of Hinduism has largely been on investigating the nature of consciousness. Several universities in the West have a Centre for Consciousness. This is just the beginning of the singularity in the quest for knowledge, where science and spirituality merge. We need to embrace science but also embrace humanities and spirituality, and ensure that our current and future generations are not a target of scientism that forces one to view science as a dogmatic religion.”

R. Chandra

Nature Human Behaviour, World View (2024)