According to the chapter, what future research directions are suggested to fill the gaps in text mining in finance?

Suggested research directions include exploring grey literature for a more current view of text mining in finance, creating a taxonomy of decisions based on text mining findings, examining the traits of businesses that have successfully used text mining, and performing more thorough analyses of the data sources used for text mining, especially internal documents.

The chapter identifies four specific ways to fill the gaps in text mining research. First, researchers could examine grey literature sources to gain a more current perspective on how text mining is used in finance. Second, they could develop a taxonomy of decisions that are based on text mining findings. Third, they could investigate the characteristics of companies that have successfully adopted text mining. Fourth, they could conduct more detailed analyses of text mining data sources, with special attention to internal documents. These directions are presented as opportunities to expand understanding in Big Data and finance.