--- license: unknown task_categories: - text-classification language: - tr tags: - tweet - turkish - sentiment - emotion size_categories: - 1K This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## Dataset Details ### Dataset Description - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Dataset Structure [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Data Collection and Processing [More Information Needed] #### Who are the source data producers? [More Information Needed] ### Annotations [optional] #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] #### Personal and Sensitive Information [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] **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] [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]