All datasets / anilguven
anilguven/turkish_tweet_emotion_dataset
The checks could not identify a recognised licence ID in the dataset's metadata.
- Declared licence
- unknown, from the tagEvidence: README.md at 80ad81f
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 80ad81f
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
@INPROCEEDINGS{8946435,
author={Güven, Zekeriya Anıl and Diri, Banu and Çakaloğlu, Tolgahan},
booktitle={2019 Innovations in Intelligent Systems and Applications Conference (ASYU)},
title={Comparison Method for Emotion Detection of Twitter Users},
year={2019},
volume={},
number={},
pages={1-5},
keywords={Twitter;Resource management;Machine learning algorithms;Computer science;Media;Advertising;Topic Modelling;Latent Dirichlet Allocation;Natural Language Processing;Emotion Detection;Sentiment Analysis;Machine Learning},
doi={10.1109/ASYU48272.2019.8946435}}
**APA:**
Güven, Z. A., Diri, B., & Çakaloğlu, T. (2019, October). Comparison Method for Emotion Detection of Twitter Users. In 2019 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-5). IEEE.
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "anilguven/turkish_tweet_emotion_dataset" })
signal: "unclear"
stated_licence: "unknown"
sources: 0