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README.md
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---
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license: cc-by-nc-sa-4.0
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---
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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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- text classification
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- event detection
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- topic detection
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- tweets
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- social media
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- topic classification
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size_categories:
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- n<1K
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---
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# Turkish Event Detection Tweet Dataset: BilTweetNews
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The dataset contains tweets related to six major events from Turkish news sources between May 4, 2015
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and Jan 8, 2017.
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There are 7 event classes:
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- E1: May 25, 2015 One of the popular football clubs in Turkey, Galatasaray, wins the 2015
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Turkish Super League.
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- E2: Sep 6, 2015 A terrorist group, called PKK, attacked to soldiers in Dağlıca, a village in
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southeastern Turkey.
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- E3: Oct 7, 2015 A Turkish scientist, Aziz Sancar, won the 2015 Nobel Chemistry prize with
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his studies on DNA repair.
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- E4: May 27, 2016 A local football club of Alanya promoted to the Turkish Super League for
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the first time in their history.
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- E5: Jun 17, 2016 A traditional anthem that is mostly played by secularists in Turkey, called
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the 10th Year Anthem, was forbidden in schools by the director of national
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education in the Black Sea province of Bolu.
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- E6: Oct 17, 2016 A magazine programmer confused that Madonna in a Fur Coat, a book written
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in 1943 by a Turkish celebrated writer, Sabahattin Ali, was about popstar
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Madonna’s life. The book tells a story between a Turkish student and German
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singer after the World War I.
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- Other: Not related to any news topic
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For each event, 100 related-candidate and 60 unrelated-candidate tweets are selected. Lastly, we randomly select 40 tweets that are potentially not related at all, 5 of them are
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removed due to detecting near-duplicates later. The dataset has 995 tweets in total.
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The task of this dataset is event detection. The sentiment analysis labels can be found at https://huggingface.co/datasets/ctoraman/BilTweetNews-Sentiment
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All tweets are labeled by 17 annotators. We provide the normalized distribution of annotations across 7 event classes. We also provide the majority class at the last column. There are no cases where multiple classes have the highest score.
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Github Repo: https://github.com/BilkentInformationRetrievalGroup/BilTweetNews2017
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# If you would like to use any material in this repository, please cite the following papers:
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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.
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- Toraman, C. Event-related microblog retrieval in Turkish. Turkish Journal of Electrical Engineering and Computer Sciences. 2021. DOI: 10.3906/elk-2108-167
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****
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