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--- |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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language: |
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- vi |
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tags: |
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- sentiment-analysis |
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- topic-classification |
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- education |
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- NLP |
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--- |
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# NEU-ESC: NEU Dataset for Educational Sentiment Analysis and Topic Classification |
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## Overview |
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NEU-ESC is a dataset designed for Educational Sentiment Analysis and Topic Classification. Each sentence in the dataset is labeled with two attributes: |
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- **Sentiment Analysis**: Indicates the sentiment of the text. |
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- **Topic Classification**: Categorizes the content into predefined educational topics. |
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The dataset is collected from online forums, educational social network fan pages, and groups. It has been preprocessed and cleaned to ensure high-quality textual data. |
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## Dataset Statistics |
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### Sentiment Analysis Labels |
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| Label | Sentiment | Count | Percentage | Mean Length | |
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|-------|-----------|--------|------------|-------------| |
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| 0 | Neutral | 22,773 | 69.08% | 23.21 | |
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| 1 | Positive | 4,148 | 12.58% | 24.29 | |
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| 2 | Negative | 5,250 | 15.77% | 34.30 | |
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| 3 | Toxic | 845 | 2.56% | 22.78 | |
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### Topic Classification Labels |
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| Label | Classification | Count | Percentage | Mean Length | |
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|-------|---------------------|--------|------------|-------------| |
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| 0 | Spam | 405 | 1.23% | 22.71 | |
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| 1 | News | 902 | 2.74% | 59.55 | |
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| 2 | Academic | 10,512 | 31.89% | 29.62 | |
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| 3 | Other | 14,402 | 43.69% | 11.40 | |
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| 4 | Service | 2,358 | 7.15% | 30.94 | |
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| 5 | Jobs & Recruitment | 808 | 2.45% | 55.14 | |
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| 6 | Personal Affairs | 1,478 | 4.48% | 33.17 | |
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| 7 | Social Affairs | 769 | 2.33% | 67.11 | |
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| 8 | Help & Share | 670 | 2.03% | 37.03 | |
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| 9 | Club & Events | 662 | 2.01% | 68.82 | |
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## Dataset Format |
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Each sample in the dataset contains: |
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- **Text**: The input sentence. |
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- **Sentiment**: One of the four sentiment classes (Neutral, Positive, Negative, Toxic). |
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- **Classification**: One of the ten topic categories. |
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## Usage |
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The dataset is useful for: |
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- Training and evaluating sentiment analysis models in the educational domain. |
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- Building topic classification models for educational discussions. |
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- Understanding user engagement in online educational communities. |
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## License |
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This dataset is released under an open-source license for research and educational purposes. Please ensure proper citation when using it in your work. |
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## Citation |
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If you use NEU-ESC in your research, please cite: |
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``` |
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@misc{neu_esc, |
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author = {Nguyen Quang Hung, Mai Phan Quoc Hung, Nguyen Thi Hong Hanh, Duong Phuong Giang}, |
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title = {NEU-ESC: NEU Dataset for Educational Sentiment Analysis and Topic Classification}, |
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year = {2024}, |
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howpublished = {Hugging Face}, |
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url = {https://huggingface.co/datasets/hung20gg/NEU-ESC} |
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} |
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``` |
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## Contact |
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For any inquiries or issues regarding the dataset, please reach out via Hugging Face discussions or GitHub Issues. |
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