Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts

@article{Nakov2016DevelopingAS,
  title={Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts},
  author={Preslav Nakov and Sara Rosenthal and Svetlana Kiritchenko and Saif Mohammad and Zornitsa Kozareva and Alan Ritter and Veselin Stoyanov and Xiao-Dan Zhu},
  journal={Language Resources and Evaluation},
  year={2016},
  volume={50},
  pages={35-65}
}
We present the development and evaluation of a semantic analysis task that lies at the intersection of two very trendy lines of research in contemporary computational linguistics: (i) sentiment analysis, and (ii) natural language processing of social media text. The task was part of SemEval, the International Workshop on Semantic Evaluation, a semantic evaluation forum previously known as SensEval. P. Nakov Qatar Computing Research Institute, HBKU Tornado Tower, floor 10, P.O. box 5825, Doha… CONTINUE READING
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