Author Profiling using LDA and Maximum Entropy Notebook for PAN at CLEF 2013

@inproceedings{Pavan2013AuthorPU,
  title={Author Profiling using LDA and Maximum Entropy Notebook for PAN at CLEF 2013},
  author={Aditya Pavan and Aditya Mogadala and Vasudeva Varma},
  booktitle={CLEF},
  year={2013}
}
This paper describes the traditional authorship attribution subtask of the PAN/CLEF 2013 workshop. In our attempt to classify the documents based on gender and age of an author, we have applied a traditional approach of topic modeling using Latent Dirichlet Allocation[LDA]. We used the content based features like topics and style based features like preposition-frequencies, which act as the efficient markers to demarcate the authorship attributes based on age and gender. We demonstrated tenfold… CONTINUE READING

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