Readability for Author Profiling? Notebook for PAN at CLEF 2013
نویسنده
چکیده
This paper briefly describes the approach taken to the Author Profiling task at PAN 13. It describes the simple features used, and the origins in thinking around text readability as a mechanism for identification, and the predictive model used which may have beneficially omitted classes, as well as offering commentary on the results obtained.
منابع مشابه
Style-based Distance Features for Author Verification Notebook for PAN at CLEF 2013
In this paper we present the approach we took in our participation to the PAN 2013 Author Profiling task. It is an adaptation of our system submitted for author identification, assuming that a profile category (authors belonging to the same gender and age group categories) can be analyzed in the same way as an author’s style.
متن کاملEnsemble-based Classification for Author Profiling Using Various Features Notebook for PAN at CLEF 2013
This paper summarize our approach to author profiling task – a part of evaluation lab PAN’13. We have used ensemble-based classification on large features set. All the features are roughly described and experimental section provides evaluation of different methods and classification approaches.
متن کاملUsing Simple Content Features for the Author Profiling Task Notebook for PAN at CLEF 2013
This paper describes the methods we have employed to solve the author profiling task at PAN-2013. Our goal was to use simple features to identify the age group and the gender of the author of a given text. We introduce the features, detail how the classifiers were trained, and how the experiments were run.
متن کاملStyle-based Distance Features for Author Profiling Notebook for PAN at CLEF 2013
In this paper we present the approach we took in our participation to the PAN 2013 Author Identification task. It relies on a complex process to select the features which represent the author’s writing, using potentially multiple statistics and distance measures computed from the training set.
متن کاملAuthor Profiling using LDA and Maximum Entropy Notebook for PAN at CLEF 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 eff...
متن کامل