FinTech for Social Good: A Research Agenda from NLP Perspective
Not on the map. Why?
Abstract (arXiv)
Making our research results positively impact on society and environment is one of the goals our community has been pursuing recently. Although financial technology (FinTech) is one of the popular application fields, we notice that there is no discussion on how NLP can help in FinTech for the social good. When mentioning FinTech for social good, people are talking about financial inclusion and green finance. However, the role of NLP in these directions only gets limited discussions. To fill this gap, this paper shares our idea of how we can use NLP in FinTech for social good. We hope readers can rethink the relationship between finance and NLP based on our sharing, and further join us in improving the financial literacy of individual investors and improving the supports for impact investment.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 10 of its 34 references that are in the map. First posted on arXiv 13 Nov 2022.
Builds on
10 of 34 references.
References · 10
- 2019FinBERT: Financial Sentiment Analysis with Pre-trained Language Modelscited by 385
- 2019Diachronic Embedding for Temporal Knowledge Graph Completioncited by 104
- 2020Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?cited by 27
- 2021How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impactcited by 18
- 2022A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictionscited by 15
- 2017Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Modelscited by 14
- 2019Are You for Real? Detecting Identity Fraud via Dialogue Interactionscited by 8
- 2020Measuring Forecasting Skill from Textcited by 6
- 2020NLP in FinTech Applications: Past, Present and Futurecited by 4
- 2022Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Modelscited by 4
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Citing papers per year: 2023: 1.
1 paper.