Topic Models and n-gram Language Models for Author Profiling - Notebook for PAN at CLEF 2015

@inproceedings{Poulston2015TopicMA,
  title={Topic Models and n-gram Language Models for Author Profiling - Notebook for PAN at CLEF 2015},
  author={Adam Poulston and Mark Stevenson and Kalina Bontcheva},
  booktitle={CLEF},
  year={2015}
}
Author profiling is the task of determining the attributes for a set of authors. This paper presents the design, approach, and results of our submission to the PAN 2015 Author Profiling Shared Task. Four corpora, each in a different language, were provided. Each corpus consisted of collections of tweets for a number of Twitter users whose gender, age and personality scores are know. The task was to construct some system capable of inferring the same attributes on as yet unseen authors. Our… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Overview of the 3rd Author Profiling Task at PAN

  • F. Rangel, P. Rosso, M. Potthast, B. Stein, W. Daelemans
  • CLEF 2015 Labs and Workshops, Notebook Papers
  • 2015
1 Excerpt

Similar Papers

Loading similar papers…