---
title: "kazanova/sentiment140: papers citing this dataset"
description: "6 papers in the tracked journals link to the Kaggle dataset kazanova/sentiment140 in their Crossref records, the first in 2022; most of them (3) in 2023."
url: https://scholar4ai.com/code/kaggle-kazanova-sentiment140
markdown_url: https://scholar4ai.com/code/kaggle-kazanova-sentiment140.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "6 papers in the tracked journals link to the Kaggle dataset kazanova/sentiment140 in their Crossref records, the first in 2022; most of them (3) in 2023. (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)
---

# kazanova/sentiment140: papers linking to it

Research papers in the 480 tracked journals that link to kazanova/sentiment140 (https://www.kaggle.com/datasets/kazanova/sentiment140), 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.

- Kaggle
- https://www.kaggle.com/datasets/kazanova/sentiment140

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

## Key findings

- 6 papers in the tracked journals link to the Kaggle dataset kazanova/sentiment140 in their Crossref records, the first in 2022; most of them (3) in 2023.
- By category: AI (6); the journals with the most are Journal Of Big Data (2), Expert Systems with Applications (1) and Knowledge-Based Systems (1).

## By year

*Papers linking to kazanova/sentiment140 by publication year*

| Year | Papers |
|---|---:|
| 2022 | 1 |
| 2023 | 3 |
| 2024 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to kazanova/sentiment140 most*

| Journal | Papers |
|---|---:|
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | 1 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |

## Papers

*Papers linking to kazanova/sentiment140, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-04-17 | [Twitter sentiment analysis using hybrid gated attention recurrent network](https://doi.org/10.1186/s40537-023-00726-3) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Nikhat Parveen, Prąsun Chakrabarti, Bùi Thanh Hùng et al. | 87 | cites it |
| 2023-03-11 | [An efficient model for sentiment analysis using artificial rabbits optimized vector functional link network](https://doi.org/10.1016/j.eswa.2023.119849) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Dharmendra Dangi, Sonal Telang Chandel, Dheeraj Kumar Dixit et al. | 37 | cites it |
| 2023-03-22 | [Social network analysis for crime rate detection using Spizella swarm optimization based BiLSTM classifier](https://doi.org/10.1016/j.knosys.2023.110450) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Pooja Mithoo, Manoj Kumar | 15 | cites it |
| 2022-02-25 | [Commonsense based text mining on urban policy](https://doi.org/10.1007/s10579-022-09584-6) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Manish Puri, Aparna S. Varde, Gerard de Melo | 14 | cites it |
| 2024-12-18 | [A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5](https://doi.org/10.1186/s40537-024-01014-4) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Fatima Es-sabery, Ibrahim Es-sabery, Junaid Qadir et al. | 8 | cites it |
| 2026-02-25 | [Optimizing sentiment analysis: a hybrid approach with heuristic optimization](https://doi.org/10.1007/s10115-026-02697-2) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Indira Priyadarshini Tummala, R. B. V. Subramanyam | 1 | 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). kazanova/sentiment140: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-kazanova-sentiment140

```bibtex
@misc{scholar4ai-code-kaggle-kazanova-sentiment140,
  author = {{Scholar4AI}},
  title = {kazanova/sentiment140: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-kazanova-sentiment140}},
  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/).