Sentiment analysis is a technique that involves analyzing and determining the sentiment or emotional tone expressed in textual data, such as social media posts, customer reviews, or feedback (Richardson, V 2023). It can be applied in various contexts, including marketing and business settings, to gain insights into customer opinions, preferences, and overall sentiment. According to writers with the Journal of Medicine, they use sentiment analysis as a technique to categorize online free-text comments by patients as either positive or negative descriptions of their health (Greaves, F 2013). Moreover, they try to automativally predict whether a patient would recommend a hospital, if the hospital is clean, and their treatment at the hospital digitally compared to the patients own qualitative rating of their care. So in a hospital, sentiment analysis can be utilized to understand patient or customer satisfaction and improve service delivery. Sentiment analysis can be used the contexts of marketing, brand perception, product feedback, and campaign evaluation as well (Richardson, V 2023) . For marketing, sentiment analysis can be used to analyze social media mentions, customer reviews, or survey responses to help marketers gauge the overall sentiment towards their brand. Positive sentiment indicates customer satisfaction, while negative sentiment can highlight areas for improvement. The marketing team can review the product feedback by Analyzing customer reviews and social media comments which provide valuable insights into how customers feel about specific products. Positive sentiment can inform marketing strategies and help identify successful products, while negative sentiment can highlight product issues or areas for improvement. Sentiment analysis can also assess how customers respond to marketing campaigns, advertisements, or promotional activities. It helps marketers understand whether their messaging resonates positively or negatively with the target audience and make necessary adjustments. By leveraging sentiment analysis, marketers can gain a deeper understanding of customer perceptions, identify trends, and make data-driven decisions to improve their marketing strategies and enhance customer experiences