ICA and SOM in text document analysis

Authors:
Ella Bingham;Jukka Kuusisto;Krista Lagus
Affiliations:
Helsinki University of Technology, Finland;Helsinki University of Technology, Finland;Helsinki University of Technology, Finland
Venue:
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2002

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Abstract

In this study we show experimental results on using Independent Component Analysis (ICA) and the Self-Organizing Map (SOM) in document analysis. Our documents are segments of spoken dialogues carried out over the telephone in a customer service, transcribed into text. The task is to analyze the topics of the discussions, and to group the discussions into meaningful subsets. The quality of the grouping is studied by comparing to a manual topical classification of the documents.