Implementation of AI Model for Sentiment Analysis of Pharmaceutical Products

This study explores the utilization of Artificial Intelligence (AI) models for sentiment analysis in the domain of pharmaceutical products. The objective is to assess the effectiveness of AI-driven approaches in extracting and interpreting sentiment from diverse textual sources, such as customer reviews, social media comments, and professional feedback. The research employs state-of-the-art natural language processing techniques and machine learning algorithms to develop a robust sentiment analysis model tailored for pharmaceutical contexts. The results demonstrate the model’s capacity to accurately discern sentiments, providing valuable insights into public perception and feedback regarding pharmaceutical products. This application holds significant potential for enhancing pharmaceutical companies’ understanding of consumer sentiment and facilitating informed decision-making in product development and marketing strategies.