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@article{169842,
        author = {Dr. Siddharth Bhorge and Prathmesh Somkuwar and Vrushket Shivpuje and Shravani Mehtre},
        title = {Financial Sentiment Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2433-2437},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169842},
        abstract = {Sentiment analysis plays a crucial role in understanding investor behavior and predicting financial market movements. This study provides an overview of recent developments in sentiment analysis techniques within the field of finance. It synthesizes key findings from literature regarding the extraction of sentiment from various data sources, including social media, financial news, and investor sentiment surveys. Additionally, the study examines the impact of sentiment on market dynamics, investor decision-making, and asset pricing. Furthermore, it explores the use of advanced methodologies, such as natural language processing and machine learning algorithms, to enhance sentiment analysis accuracy and effectiveness. By analyzing sentiment trends and patterns, financial professionals can gain valuable insights into market sentiment dynamics and develop strategies to capitalize on market sentiment fluctuations. Overall, this study contributes to the growing body of knowledge on finance sentiment analysis and highlights its significance in contemporary financial research and practice.},
        keywords = {Sentiment Analysis, Finance, Investor Behavior, Financial Markets, Natural Language Processing, Machine Learning, Social Media, Financial News, Asset Pricing, Market Dynamics.},
        month = {November},
        }