Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

Financial PhraseBank

data category: Financial NLP datasets · 0 papers in the last 7 days

← Most-used data · All Financial NLP datasets datasets

Labelled financial texts used to train and test language models on finance.

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

Names searched for: Financial PhraseBank, Financial Phrase Bank

Key findings#

  • From Nov 2023 to Oct 2026, 18 archived papers mentioned Financial PhraseBank in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2024 (2).
  • Financial PhraseBank was mentioned in 1 paper in the last 30 days (2026-10-06 to 2026-11-04), ranking #172 of the 255 datasets mentioned.
  • By journal category: Operations Research (1).
  • Most of them appeared in Annals of Operations Research (1).
  • From 2017 to 2026 (so far), Financial PhraseBank was mentioned in 19 papers in the tracked journals, most of them in finance (8), AI (6) and operations research (2).
  • 5 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Swiss Finance Institute (2), University of Zurich (2) and Aalto University (1).
  • The journals publishing most of them were Finance research letters (3), Neural Computing and Applications (2) and Knowledge-Based Systems (2).
  • The most-cited of them is “Sentiment trading with large language models” (Finance research letters, 2024), with 115 citations.
  • Papers use Financial PhraseBank most often with Twitter / X (10), S&P 500 (8) and Hugging Face Hub (7); it has 9 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
85518

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 0 papers2021: 0 papers2022: 0 papers2023: 1 paper2024: 8 papers2025: 5 papers2026 (so far): 5 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Finance0000001322
AI0000000231
Operations Research0000000101
Information Systems0000000001
Economics0000000100
Management0000000100
All categories0000001855

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Swiss Finance Institute2
2University of Zurich2
3Aalto University1
4Academy of Mathematics and Systems Science1
5Adam Smith Institute1
6Agricultural University of Athens1
7American University1
8Centre National de la Recherche Scientifique1
9Chinese Academy of Sciences1
10Excelia Business School1
Countries with the most papers, since 2023
#CountryPapers
1Australia2
2Switzerland2
3Finland2
4France2
5United Kingdom2
6India2
7United States2
8Belgium1
9China1
10Czechia1
Keywords with the most papers, since 2023
#KeywordPapers
1FinBERT7
2large language models7
3financial sentiment analysis4
4BERT3
5sentiment analysis3
6adversarial attacks2
7algorithmic trading2
8benchmark evaluation2
9financial news sentiment2
10named entity recognition2

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
11153.6Sentiment trading with large language modelsFinance research letters2024-03-15Kemal Kirtac, Guido Germano
21045.9Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial IntelligenceIEEE Transactions on Artificial Intelligence2025-05-13Timothy R. McIntosh, Teo Sušnjak, Nalin Asanka Gamagedara Arachchilage et al.
3853.9Large Language Models in Finance (FinLLMs)Neural Computing and Applications2025-01-11Jean Lee, Nicholas Stevens, Soyeon Caren Han
4771.8Sentiment spin: Attacking financial sentiment with GPT-3Finance research letters2023-05-05Markus Leippold
5563.1Exploring privacy mechanisms and metrics in federated learningArtificial Intelligence Review2025-05-02Dhanya Shenoy, Radhakrishna Bhat, Krishna Prakash

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use Financial PhraseBank most often with Twitter / X (10), S&P 500 (8) and Hugging Face Hub (7); it has 9 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →

What papers use Financial PhraseBank together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
Twitter / XDataset105.7
S&P 500Dataset87.8
Hugging Face HubDataset733.3
WikipediaDataset715.9
FiQADataset6821.2
Loughran-McDonald dictionaryDataset666.7
Baker-Wurgler investor sentimentDataset453.7
Earnings call transcriptsDataset432.6
FinQA / ConvFinQA / TAT-QADataset3547.5
Papers mentioning Financial PhraseBank in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-22Cut the chit-chat: a new framework for the application of generative language models for portfolio constructionAnnals of Operations ResearchFrancesco A. Fabozzi, Ionuţ FlorescuStevens Institute of Technology
Cite this page

Scholar4AI. (2026). Financial PhraseBank. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/financial-phrasebank

@misc{scholar4ai-datasets-financial-phrasebank,
  author = {{Scholar4AI}},
  title = {Financial PhraseBank},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/financial-phrasebank}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).