Datasets:
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README.md
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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<!-- This section describes the people or systems who created the annotations. -->
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#### Personal and Sensitive Information
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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## Citation
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Dataset Card Authors [optional]
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[More Information Needed]
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## Dataset Card Contact
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<!-- Provide a longer summary of what this dataset is. -->
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This dataset contains more than 3300 Persian tweets, crawled from X.com
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Each tweet is assigned a label, which is a number between 0 to 4.
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Label 0 indicates the sentiment of Happiness and Joy.
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Label 1 indicates the sentiment of Sadness.
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Label 2 indicates the sentiment of Anger and Furiosity.
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Label 3 indicates the sentiment of Neutral.
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And finally, label 4 indicates the sentiment of intense emotions, such as Surprise, Fear, and Love.
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- **Curated by:** [Mohammadali Mohammadkhani - Sina Elahimanesh]
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- **Funded by :** [Mohammadali Mohammadkhani - Sina Elahimanesh]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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<!-- This section describes the people or systems who created the annotations. -->
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[Mohammadali Mohammadkhani - Sina Elahimanesh]
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#### Personal and Sensitive Information
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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## Citation
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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```
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@misc{elahimanesh2025emotionalignmentdiscoveringgap,
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title={Emotion Alignment: Discovering the Gap Between Social Media and Real-World Sentiments in Persian Tweets and Images},
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author={Sina Elahimanesh and Mohammadali Mohammadkhani and Shohreh Kasaei},
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year={2025},
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eprint={2504.10662},
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archivePrefix={arXiv},
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primaryClass={cs.HC},
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url={https://arxiv.org/abs/2504.10662},
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}
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```
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## Dataset Card Contact
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