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

Aditya Pavan, Aditya Mogadala, Vasudeva Varma
2013 Conference and Labs of the Evaluation Forum  
This paper describes the traditional authorship attribution subtask of the PAN/CLEF 2013 workshop.  ...  We demonstrated tenfold cross validation and observed that our classification approach using Maxent and LDA gave an accuracy of 53.3% for English language and 52% for Spanish Language.  ...  Since the input for the classification task is the distribution of topics, in order to improve the maximum likelihood during estimation, the maximum entropy was used.  ... 
dblp:conf/clef/PavanMV13 fatcat:xg4dmxsdgbgcperybcl4izotau

Author Profiling in Social Media with Multimodal Information

Miguel Á. Álvarez Carmona, Esaú Villatoro Tello, Manuel Montes y Gómez, Luis Villaseñor Pineda
2020 Journal of Computacion y Sistemas  
In this thesis work, we propose a solution for the task of profiling authors in social networks.  ...  Determine aspects of a person as gender, age, residency, occupation, among others, through his/her texts is a task that is part of the natural language processing and is known as author profiling.  ...  INAOE's participation at PAN'15: Author profiling task. Working Notes Papers of the CLEF. (37 cites) -Álvarez-Carmona, M. Á., López-Monroy, A.  ... 
doi:10.13053/cys-24-3-3488 fatcat:dj6rhmdbf5grhngea6hwocxo7q