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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- text-classification |
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language: |
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- tr |
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tags: |
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- protest event detection |
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- protest detection |
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- public reaction |
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--- |
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# Public Protest Event Detection in Turkish |
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80 news events/articles occurred between 2015 and 017. Each event is listed with its origin date, place, news url, public-reaction category, and reaction tags. |
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Protest labels are determined in terms of dimensions and directions. |
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Dimensions are in terms of national, local, and social media. National categories represent public reactions occurred in at least two different cities. Local categories have events occurred at only a specific place. Social categories |
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represent reactions that people share opinions only in social media, such as microblogs. |
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Directions are either negative or positive. |
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Overall, there are 7 classes: |
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- national positive |
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- national negative |
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- local positive |
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- local negative |
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- social positive |
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- social negative |
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- no reaction |
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GitHub Repo: https://github.com/BilkentInformationRetrievalGroup/BilPredict2017 |
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# If you would like to use any material in this repository, please cite the following paper: |
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- Toraman, C. Early Prediction of Public Reactions to News Events Using Microblogs. Seventh BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2017), Barcelona, Spain, 5 September 2017. |
