We are interested in learning more about the nascent and fast-growing field of financial natural language processing (F-NLP (or maybe $NLP ?)). The main goals of this blog are:

• To summarize interesting research developments in this field.
• To informally field new ideas and techniques, drawing from the many disciplines and industries at play

Some of the big questions we have in mind include:

• What effects will NLP and increasingly advanced artificial intelligence have on the workings of the financial market? Are these effects salubrious, negligible, or outright minacious?
• What would be more effective in this field: generalist artificial intelligence or highly specialized algorithms? Of course, the former is still out of reach, while the latter arguably has a decades-long history. What does that history tell us?
• How can we create models that leverage both structured data (like time series) with unstructured data (like news headlines) for useful applications?

About us: we are three undergraduates at Columbia University in NYC, studying computer science and adjacent subjects.