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Author Profiling using LDA and Maximum Entropy Notebook for PAN at CLEF 2013
2013
Conference and Labs of the Evaluation Forum
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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
2020
Journal of Computacion y Sistemas
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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