SemEval-2016 ABSA Telecom Tweets-Turkish: Train Data (Subtask 1)

Eryigit, G., Cetin, F. S., Yanık, M., Bilgi, T. G., Temel, T., & Ciçekli, I. (2013, August). Turksent: A sentiment annotation tool for social media. In Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse (pp. 131-134). Yıldırım, E., Çetin, F. S., Eryiğit, G., & Temel, T. (2015). The impact of NLP on Turkish sentiment analysis. TÜRKİYE BİLİŞİM VAKFI BİLGİSAYAR BİLİMLERİ ve MÜHENDİSLİĞİ DERGİSİ, 7(1 (Basılı 8).

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This dataset is distributed for Aspect Based Sentiment Analysis (ABSA), Task 5 of SemEval-2016. It consists of 3000 Turkish tweet documents.

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