Update README.md

README.md

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 ---
 license: cc-by-nc-sa-4.0
+language:
+- tr
+task_categories:
+- text-classification
+tags:
+- sentiment analysis
+- text classification
+- tweets
+- social media
+- turkish
+- sarcasm
+- sarcastic
 ---
+
+# Turkish Sentiment Analysis Tweet Dataset: BilTweetNews
+
+The dataset contains tweets related to six major events from Turkish news sources between May 4, 2015
+and Jan 8, 2017. 
+
+The dataset covers 6 major events:
+- May 25, 2015 One of the popular football clubs in Turkey, Galatasaray, wins the 2015
+Turkish Super League.
+- Sep 6, 2015 A terrorist group, called PKK, attacked to soldiers in Dağlıca, a village in
+southeastern Turkey. 
+- Oct 7, 2015 A Turkish scientist, Aziz Sancar, won the 2015 Nobel Chemistry prize with
+his studies on DNA repair. 
+- May 27, 2016 A local football club of Alanya promoted to the Turkish Super League for
+the first time in their history. 
+-Jun 17, 2016 A traditional anthem that is mostly played by secularists in Turkey, called
+the 10th Year Anthem, was forbidden in schools by the director of national
+education in the Black Sea province of Bolu. 
+- Oct 17, 2016 A magazine programmer confused that Madonna in a Fur Coat, a book written
+in 1943 by a Turkish celebrated writer, Sabahattin Ali, was about popstar
+Madonna’s life. The book tells a story between a Turkish student and German
+singer after the World War I.
+- Not related to any news topic 
+
+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
+removed due to detecting near-duplicates later. The dataset has 995 tweets in total. 
+
+There are 4 sentiment classes:
+
+- Positive
+- Negative
+- Neutral
+- Sarcastic
+
+All tweets are labeled by 17 annotators. We provide the normalized distribution of annotations across 4 sentiment classes. We also provide the majority sentiment class at the last column. If there are multiple classes with highest scores, then we set "Multi" as majority.
+
+
+****
+# If you would like to use any material in this repository, please cite the following papers:
+- 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.
+
+- Toraman, C. Event-related microblog retrieval in Turkish. Turkish Journal of Electrical Engineering and Computer Sciences. 2021. DOI: 10.3906/elk-2108-167
+****