Designing punjabi poetry classifiers using machine learning and different textual features

@article{Kaur2020DesigningPP,
  title={Designing punjabi poetry classifiers using machine learning and different textual features},
  author={Jasleen Kaur and Jatinderkumar R. Saini},
  journal={Int. Arab J. Inf. Technol.},
  year={2020},
  volume={17},
  pages={38-44}
}
Analysis of poetic text is very challenging from computational linguistic perspective. Computational analysis of literary arts, especially poetry, is very difficult task for classification. For library recommendation system, poetries can be classified on various metrics such as poet, time period, sentiments and subject matter. In this work, content-based Punjabi poetry classifier was developed using Weka toolset. Four different categories were manually populated with 2034 poems Nature and… 
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