Changes between Version 6 and Version 7 of private/AdvancedNlpCourse/Stylometry


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Timestamp:
Dec 6, 2015, 9:03:17 PM (5 years ago)
Author:
Jan Rygl
Comment:

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  • private/AdvancedNlpCourse/Stylometry

    v6 v7  
    77== State of the Art ==
    88
     9The analysis of author's characteristic
     10writing style and vocabulary has been used to uncover author's traits such as authorship, age, or gender
     11documents by both manual linguistic approaches and automatic algorithmic methods.
     12
     13The most common approach to stylometry problems
     14is to combine stylistic analysis with machine learning techniques:
     151) specific style markers are extracted,
     162) a classification procedure is applied to extracted markers
     17
     18
    919=== References ===
    10 
    11 Approx 3 current papers (preferably from best NLP conferences/journals, eg. [[https://www.aclweb.org/anthology/|ACL Anthology]]) that will be used as a source for the one-hour lecture:
    1220
    1321 1. Stamatatos, E. (2009), A Survey of Modern Authorship Attribution Methods (2009), Journal of the American Society for Information Science and Technology, 60(3), 538-556. [[http://www.clips.ua.ac.be/~walter/educational/material/Stamatatos_survey2009.pdf | pdf]]
     
    1725== Practical Session ==
    1826
     27Student will have to
    1928Concrete description of work assignment for students for the second one-hour part of the lecture. The work will consist of tasks connected with practical implementations of algorithms connected with the current topic (probably not the state-of-the-art algorithms mentioned in the first part) and with real data. Students can test the algorithms, evaluate them and possibly try some short adaptations for various subtasks.
    2029