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Natural Language Processing (NLP) technologies have become increasingly popular to be used to gain insights into unstructured textual data in the finance domain. In this talk, I will present recent developments in NLP for (1) automatic construction of hierarchical topic taxonomy from a large-scale text corpus; (2) named entity recognition and financial event extraction from text; (3) sentiment analysis including sentiment classification, aspect-based sentiment analysis and contrastive opinion extraction; and (4) end-to-end NLP approaches for trading signals prediction. I will conclude my talk with an outlook on potential NLP technologies that will shape the future of FinTech.

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