SurveyCoder: A System for Classification of Survey Responses
P. Sangameshwar, and G. Palshikar. Natural Language Processing and Information Systems, 18th International Conference on Applications of Natural Language to Information Systems, volume 7934 of Lecture Notes in Computer Science, page 417-420. Springer Berlin Heidelberg, (2013)
DOI: 10.1007/978-3-642-38824-8\_52
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%0 Conference Paper
%1 Sangameshwar2013
%A Sangameshwar, Patil
%A Palshikar, GirishK.
%B Natural Language Processing and Information Systems, 18th International Conference on Applications of Natural Language to Information Systems
%D 2013
%E Métais, Elisabeth
%E Meziane, Farid
%E Saraee, Mohamad
%E Sugumaran, Vijayan
%E Vadera, Sunil
%I Springer Berlin Heidelberg
%K Text analytics; from:knutwenzig MalteMasterThesis NLP Survey classification;
%P 417-420
%R 10.1007/978-3-642-38824-8\_52
%T SurveyCoder: A System for Classification of Survey Responses
%U http://dx.doi.org/10.1007/978-3-642-38824-8\_52
%V 7934
%@ 978-3-642-38823-1
@inproceedings{Sangameshwar2013,
added-at = {2014-05-20T08:59:40.000+0200},
author = {Sangameshwar, Patil and Palshikar, GirishK.},
biburl = {https://www.bibsonomy.org/bibtex/2eef5c192ad96496300eef7a6f72945ea/autocode},
booktitle = {Natural Language Processing and Information Systems, 18th International Conference on Applications of Natural Language to Information Systems},
doi = {10.1007/978-3-642-38824-8\_52},
editor = {Métais, Elisabeth and Meziane, Farid and Saraee, Mohamad and Sugumaran, Vijayan and Vadera, Sunil},
interhash = {dc1c08133f4d2673f07b83d31e7a4b61},
intrahash = {eef5c192ad96496300eef7a6f72945ea},
isbn = {978-3-642-38823-1},
keywords = {Text analytics; from:knutwenzig MalteMasterThesis NLP Survey classification;},
pages = {417-420},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2014-05-20T08:59:40.000+0200},
title = {{SurveyCoder: A System for Classification of Survey Responses}},
url = {http://dx.doi.org/10.1007/978-3-642-38824-8\_52},
volume = 7934,
year = 2013
}