Recent trends in financial natural language processing research

Recently, the financial industry has been embracing technological advancements for improving the financial well-being of people. These technological advancements include the rapid development in the field of Artificial Intelligence, Machine Learning and Natural Language Processing (NLP). Over the last decade, the availability of unstructured datasets (like texts, images and videos) has intrigued researchers to investigate how unstructured datasets can be used in the financial industry. For stock price forecasting, researchers now use market sentiment data in addition to historical stock prices. Financial Natural Language Processing (FinNLP) deals with Natural Language Processing techniques applied to text data from the financial domain. FinNLP can be readily leveraged for improving the investing journey through education. This leads to social good. In this paper, we survey how NLP is enabling recent advancements in the field of technology enabled finance or FinTech. We present the latest trends and news, and provide our views regarding some directions for future research.