Text Classification Methodologies Applied to Micro-Text in Military Chat
K. Rosa, and J. Ellen. Proceedings of the 2009 International Conference on Machine Learning and Applications, page 710--714. Washington, DC, USA, IEEE Computer Society, (2009)
DOI: 10.1109/ICMLA.2009.49
Abstract
We propose methods to classify lines of military chat, or posts, which contain items of interest. We evaluated several current text categorization and feature selection methodologies on chat posts. Our chat posts are examples of 'micro-text', or text that is generally very short in length, semi-structured, and characterized by unstructured or informal grammar and language. Although this study focused specifically on tactical updates via chat, we believe the findings are applicable to content of a similar linguistic structure. Completion of this milestone is a significant first step in allowing for more complex categorization and information extraction.
Description
Text Classification Methodologies Applied to Micro-Text in Military Chat
%0 Conference Paper
%1 Rosa:2009:TCM:1726586.1727105
%A Rosa, Kevin Dela
%A Ellen, Jeffrey
%B Proceedings of the 2009 International Conference on Machine Learning and Applications
%C Washington, DC, USA
%D 2009
%I IEEE Computer Society
%K categorization language micro-text text unstructured
%P 710--714
%R 10.1109/ICMLA.2009.49
%T Text Classification Methodologies Applied to Micro-Text in Military Chat
%U http://dx.doi.org/10.1109/ICMLA.2009.49
%X We propose methods to classify lines of military chat, or posts, which contain items of interest. We evaluated several current text categorization and feature selection methodologies on chat posts. Our chat posts are examples of 'micro-text', or text that is generally very short in length, semi-structured, and characterized by unstructured or informal grammar and language. Although this study focused specifically on tactical updates via chat, we believe the findings are applicable to content of a similar linguistic structure. Completion of this milestone is a significant first step in allowing for more complex categorization and information extraction.
%@ 978-0-7695-3926-3
@inproceedings{Rosa:2009:TCM:1726586.1727105,
abstract = {We propose methods to classify lines of military chat, or posts, which contain items of interest. We evaluated several current text categorization and feature selection methodologies on chat posts. Our chat posts are examples of 'micro-text', or text that is generally very short in length, semi-structured, and characterized by unstructured or informal grammar and language. Although this study focused specifically on tactical updates via chat, we believe the findings are applicable to content of a similar linguistic structure. Completion of this milestone is a significant first step in allowing for more complex categorization and information extraction.},
acmid = {1727105},
added-at = {2011-06-09T12:36:19.000+0200},
address = {Washington, DC, USA},
author = {Rosa, Kevin Dela and Ellen, Jeffrey},
biburl = {https://www.bibsonomy.org/bibtex/260ca526503bfee60b18bbd0075c5e667/jennymac},
booktitle = {Proceedings of the 2009 International Conference on Machine Learning and Applications},
description = {Text Classification Methodologies Applied to Micro-Text in Military Chat},
doi = {10.1109/ICMLA.2009.49},
interhash = {fe73ebd185e7f244411f41df9052c46d},
intrahash = {60ca526503bfee60b18bbd0075c5e667},
isbn = {978-0-7695-3926-3},
keywords = {categorization language micro-text text unstructured},
numpages = {5},
pages = {710--714},
publisher = {IEEE Computer Society},
series = {ICMLA '09},
timestamp = {2011-06-09T12:36:19.000+0200},
title = {Text Classification Methodologies Applied to Micro-Text in Military Chat},
url = {http://dx.doi.org/10.1109/ICMLA.2009.49},
year = 2009
}