README.md

---
license: unknown
task_categories:
- text-classification
language:
- tr
tags:
- tweet
- turkish
- sentiment
- emotion
size_categories:
- 1K<n<10K
---
# Dataset Card for Dataset Name

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## Dataset Details

### Dataset Description

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### Dataset Sources [optional]

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## Uses

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### Direct Use

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### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

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### Source Data

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#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

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**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.

## Glossary [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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