With the growing importance of sentiment analysis and stock market prediction in financial decision-making, this study presents a bibliometric analysis of research published in these fields using the Scopus database. A total of 346 papers were identified, and their publication trends, most productive journals, active authors, and prevalent keywords were analyzed. Results indicate a steady increase in publications since 2013, with India and China being the leading contributors. Expert Systems with Applications was the most productive journal, and Zhang Y was the most active author. The most frequent keywords include sentiment analysis, social media, and machine learning. This study provides valuable insights into current trends and can guide future research in these fields.