In this bibliography, there are 58 research papers related to sentiment analysis and business intelligence published between 2016 and 2022. The papers are grouped into three categories: Sentiment Analysis for Business Intelligence (8 papers), Sentiment Analysis for Customer Feedback (14 papers), and Sentiment Analysis for Social Media Monitoring (16 papers). Each paper provides a brief description of the methodology, results, and conclusions, covering various techniques and approaches to sentiment analysis such as machine learning, deep learning, and natural language processing. The papers also discuss the applications of sentiment analysis in different domains such as marketing, customer service, and social media monitoring. Overall, this bibliography provides a comprehensive overview of the current state of research in sentiment analysis and its applications in business intelligence, serving as a valuable resource for researchers, practitioners, and students interested in this field.