Extracting Meaningful Labels for WEBSOM Text Archives

@inproceedings{citeulike:573747, abstract = {Self-Organizing Maps, being used mainly with data that are not pre-labeled, need automatic procedures for extracting keywords as labels for each of the map units. The WEBSOM methodology for building very large text archives has a very slow method for extracting such unit labels. It computes the relative frequencies of all the words of all the documents associated to each unit and then compares these to the relative frequencies of all the words of all the other units of the map. Since maps may...}, author = {Azcarraga, Arnulfo P. and Yap, Teddy N. }, booktitle = {CIKM}, citeulike-article-id = {573747}, keywords = {extraction, label, text, websom}, pages = {41--48}, posted-at = {2006-04-03 06:49:24}, priority = {5}, title = {Extracting Meaningful Labels for WEBSOM Text Archives}, url = {http://citeseer.ist.psu.edu/azcarraga01extracting.html}, year = {2001} }

TY - CONF ID - citeulike:573747 L3 - citeulike-article-id:573747 TI - Extracting Meaningful Labels for WEBSOM Text Archives T2 - CIKM SP - 41 EP - 48 N2 - Self-Organizing Maps, being used mainly with data that are not pre-labeled, need automatic procedures for extracting keywords as labels for each of the map units. The WEBSOM methodology for building very large text archives has a very slow method for extracting such unit labels. It computes the relative frequencies of all the words of all the documents associated to each unit and then compares these to the relative frequencies of all the words of all the other units of the map. Since maps may... KW - extraction KW - label KW - text KW - websom AU - Azcarraga, Arnulfo AU - Yap, Teddy PY - 2001/// UR - http://citeseer.ist.psu.edu/azcarraga01extracting.html ER -