---
title: "trinker/sentimentr: papers citing this GitHub repository"
description: "7 papers in the tracked journals link to the GitHub repository trinker/sentimentr in their Crossref records, the first in 2022; most of them (4) in 2022."
url: https://scholar4ai.com/code/github-trinker-sentimentr
markdown_url: https://scholar4ai.com/code/github-trinker-sentimentr.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "7 papers in the tracked journals link to the GitHub repository trinker/sentimentr in their Crossref records, the first in 2022; most of them (4) in 2022. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# trinker/sentimentr: papers linking to it

Research papers in the 480 tracked journals that link to trinker/sentimentr (https://github.com/trinker/sentimentr), 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.

- GitHub
- 439 stars
- 86 forks
- R
- created 2015
- https://github.com/trinker/sentimentr

All repositories: https://scholar4ai.com/code.md

## Key findings

- 7 papers in the tracked journals link to the GitHub repository trinker/sentimentr in their Crossref records, the first in 2022; most of them (4) in 2022.
- By category: Higher Education and Research (2), Information Systems (1) and Management (1); the journals with the most are Scientometrics (2), International Journal of Information Management Data Insights (1) and Journal of Business Research (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links trinker/sentimentr.

## By year

*Papers linking to trinker/sentimentr by publication year*

| Year | Papers |
|---|---:|
| 2022 | 4 |
| 2023 | 1 |
| 2024 | 2 |

## Journals

*Journals whose papers link to trinker/sentimentr most*

| Journal | Papers |
|---|---:|
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 2 |
| [International Journal of Information Management Data Insights](https://scholar4ai.com/journals/international-journal-of-information-management-data-insights.md) | 1 |
| [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | 1 |
| [Marketing Letters](https://scholar4ai.com/journals/marketing-letters.md) | 1 |
| [Public Transport](https://scholar4ai.com/journals/public-transport.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Is academic writing becoming more positive? A large-scale diachronic case study of Science research articles across 25 years](https://doi.org/10.1007/s11192-022-04515-2) (Scientometrics, 2022)
  - [The diachronic change in linguistic positivity in the academic book reviewing of language studies: a text-mining analysis](https://doi.org/10.1007/s11192-024-05208-8) (Scientometrics, 2024) — cites the paper above

## Papers

*Papers linking to trinker/sentimentr, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-08-15 | [Zero-shot learning based cross-lingual sentiment analysis for sanskrit text with insufficient labeled data](https://doi.org/10.1007/s10489-022-04046-6) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Puneet Kumar, Kshitij Pathania, Balasubramanian Raman | 33 | cites it |
| 2022-10-01 | [Is academic writing becoming more positive? A large-scale diachronic case study of Science research articles across 25 years](https://doi.org/10.1007/s11192-022-04515-2) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Zhou-min Yuan, Mingxin Yao | 33 | cites it |
| 2022-03-17 | [The framing of health technologies on social media by major actors: Prominent health issues and COVID-related public concerns](https://doi.org/10.1016/j.jjimei.2022.100068) | [International Journal of Information Management Data Insights](https://scholar4ai.com/journals/international-journal-of-information-management-data-insights.md) | Maud Reveilhac, Arnaud Blanchard | 32 | cites it |
| 2022-08-30 | [What consumers think about product self-assembly: Insights from big data](https://doi.org/10.1016/j.jbusres.2022.08.003) | [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | Roozmehr Safi | 13 | cites it |
| 2023-04-20 | [SentiHawkes: a sentiment-aware Hawkes point process to model service quality of public transport using Twitter data](https://doi.org/10.1007/s12469-022-00310-7) | [Public Transport](https://scholar4ai.com/journals/public-transport.md) | Mohammad Masoud Rahimi, Elham Naghizade, Mark Stevenson et al. | 3 | cites it |
| 2024-12-14 | [The diachronic change in linguistic positivity in the academic book reviewing of language studies: a text-mining analysis](https://doi.org/10.1007/s11192-024-05208-8) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Xueying Liu, Haoran Zhu | 3 | cites it |
| 2024-10-28 | [Easter eggs: Signaling quality via intrinsic motivation](https://doi.org/10.1007/s11002-024-09748-0) | [Marketing Letters](https://scholar4ai.com/journals/marketing-letters.md) | Matthias Fuchs | 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). trinker/sentimentr: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-trinker-sentimentr

```bibtex
@misc{scholar4ai-code-github-trinker-sentimentr,
  author = {{Scholar4AI}},
  title = {trinker/sentimentr: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-trinker-sentimentr}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).