Big Text advantages and challenges: classification perspective

@article{Sokolova2017BigTA,
  title={Big Text advantages and challenges: classification perspective},
  author={Marina Sokolova},
  journal={International Journal of Data Science and Analytics},
  year={2017},
  volume={5},
  pages={1-10}
}
Big Text, i.e., large repositories of textual data, is a part of Big Data. In total, 80–85 % of Big Text comes in unstructured form, with significant contribution from social media. In this position paper, we discuss Big Text advantages and challenges in respect to text classification. We propose a new approach to performance evaluation of classification… CONTINUE READING