Artificial intelligence is emerging as a transformative force in addressing the multifaceted
challenges of food safety, food quality, and food security. This review synthesizes …

Foodborne illnesses represent a significant global health challenge, causing substantial
morbidity and mortality. Conventional surveillance methods, such as laboratory-based …

Abstract The World Bank lists flooding as one of the main pressures on a community.
Flooding can affect development prospects and potentially reverse decades of progress in …

Fine‐grained mining of stance change among social media users during crises contributes
significantly to a comprehensive understanding of the development of public opinion online …

Sanskrit, one of the world's oldest languages, grammar plays major role in language
translation, involving the structural arrangement of sentences through specific guidelines …

This article presents an approach for assessing psychosocial concerns using Natural
Language Processing (NLP) and topic modeling on text data collected in monthly surveys …

This study uses text mining algorithms to examine student comments on teaching
performance, with an emphasis on finding significant themes and sentiments to provide …

This work offers an integrated multitool approach that relies on state-ofthe-art NLP methods
for real-time text analysis, specifically in sentiment analysis, personality profiling, and …

This dissertation addresses the effectiveness of market surveillance through user review
analysis, the combination of semantic similarity (SemSim) measures with Natural Language …

The patient's feedback is a key component in enhancing healthcare service. This research
employed sophisticated NLP tools to analyze the feedback of 500 hospitals in Bangalore …