nlptown/bert-base-multilingual-uncased-sentiment: papers linking to it

Hugging Face · 496 likes · 608,325 downloads last month · text-classification · transformers · huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment

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Research papers in the 480 tracked journals that link to nlptown/bert-base-multilingual-uncased-sentiment (https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

3 papers in the tracked journals link to the Hugging Face model nlptown/bert-base-multilingual-uncased-sentiment in their Crossref records, the first in 2025; most of them (2) in 2025.
By category: AI (2) and Management (1); the journals with the most are Neural Computing and Applications (1), Journal of Business Economics (1) and Expert Systems with Applications (1).

By year#

20252026

Papers linking to nlptown/bert-base-multilingual-uncased-sentiment by publication year
Year	Papers
2025	2
2026	1

Journals#

Journals whose papers link to nlptown/bert-base-multilingual-uncased-sentiment most
Journal	Papers
Neural Computing and Applications	1
Journal of Business Economics	1
Expert Systems with Applications	1

Papers linking to nlptown/bert-base-multilingual-uncased-sentiment, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-05-23	Multilingual and tunisian dialect analysis of banking app reviews using LLMs	Expert Systems with Applications	Rim Mahouachi, Hela Mahersia	5	cites it
2025-06-23	Beyond sentiment analysis of online customer reviews: an approach to automated measurement of technology acceptance from online customer reviews	Journal of Business Economics	Andreas Karasenko, Daniel Baier	5	cites it
2026-01-01	Reducing labeled data requirements in text classification with active learning and BERT-based transformers	Neural Computing and Applications	Aikaterini Eleftheria Karanikola, Charalampos M. Liapis, Sotiris B. Kotsiantis	2	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). nlptown/bert-base-multilingual-uncased-sentiment: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/hf-model-nlptown-bert-base-multilingual-uncased-sentiment

@misc{scholar4ai-code-hf-model-nlptown-bert-base-multilingual-uncased-sentiment,
  author = {{Scholar4AI}},
  title = {nlptown/bert-base-multilingual-uncased-sentiment: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/hf-model-nlptown-bert-base-multilingual-uncased-sentiment}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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