A survey of the applications of text mining in financial domain

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Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, background): “Similarly, Kumar and Ravi [22] reviewed text mining studies for forex and stock market prediction.”
Deep Learning for Financial Applications : A Survey (2020, background): “[162] surveyed the studies of textual analysis of financial documents, news and corporate disclosures.”
Improving stock market prediction via heterogeneous information fusion (2017, methodology): “According to [20], it summarizes several text mining methods that are used in the ﬁnancial ﬁeld.”
AI in Finance: Challenges, Techniques, and Opportunities (2021, methodology): “Examples include integrating the autoregression of temporal data and text/document analysis techniques for financial text; building unified representations of mixed multisource input after transforming and concatenating the heterogeneous input data sources to vector or matrix-based representations f”
Natural language based financial forecasting: a survey (2017, methodology): “Another survey of better quality is [57].”