ICA and SOM in Text Document Analysis

Ella Bingham; J. Kuusisto; K. Lagus

doi:10.1145/564376.564444

ICA and SOM in Text Document Analysis

Ella Bingham, J. Kuusisto, K. Lagus

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

16 Citations (Scopus)

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.

Original language	English
Title of host publication	SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Publisher	ACM
Pages	361-362
ISBN (Electronic)	978-1-58113-561-9
DOIs	https://doi.org/10.1145/564376.564444
Publication status	Published - 2002
MoE publication type	A4 Conference publication
Event	International ACM SIGIR Conference on Research and Development in Information Retrieval - Tampere, Finland Duration: 11 Aug 2002 → 15 Aug 2002 Conference number: 25

Conference

Conference	International ACM SIGIR Conference on Research and Development in Information Retrieval
Country/Territory	Finland
City	Tampere
Period	11/08/2002 → 15/08/2002

Keywords

dialogue data
independent component analysis
self-organizing map
text analysis

Access to Document

10.1145/564376.564444

Cite this

@inproceedings{23d40d98096945049a50275d413a45ee,

title = "ICA and SOM in Text Document Analysis",

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.",

keywords = "dialogue data, independent component analysis, self-organizing map, text analysis, dialogue data, independent component analysis, self-organizing map, text analysis, dialogue data, independent component analysis, self-organizing map, text analysis",

author = "Ella Bingham and J. Kuusisto and K. Lagus",

year = "2002",

doi = "10.1145/564376.564444",

language = "English",

pages = "361--362",

booktitle = "SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval",

publisher = "ACM",

address = "United States",

note = "International ACM SIGIR Conference on Research and Development in Information Retrieval ; Conference date: 11-08-2002 Through 15-08-2002",

}

Bingham, E, Kuusisto, J & Lagus, K 2002, ICA and SOM in Text Document Analysis. in SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval. ACM, pp. 361-362, International ACM SIGIR Conference on Research and Development in Information Retrieval, Tampere, Finland, 11/08/2002. https://doi.org/10.1145/564376.564444

TY - GEN

T1 - ICA and SOM in Text Document Analysis

AU - Bingham, Ella

AU - Kuusisto, J.

AU - Lagus, K.

N1 - Conference code: 25

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

KW - dialogue data

KW - independent component analysis

KW - self-organizing map

KW - text analysis

KW - dialogue data

KW - independent component analysis

KW - self-organizing map

KW - text analysis

KW - dialogue data

KW - independent component analysis

KW - self-organizing map

KW - text analysis

U2 - 10.1145/564376.564444

DO - 10.1145/564376.564444

M3 - Conference article in proceedings

SP - 361

EP - 362

BT - SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval

PB - ACM

T2 - International ACM SIGIR Conference on Research and Development in Information Retrieval

Y2 - 11 August 2002 through 15 August 2002

ER -

ICA and SOM in Text Document Analysis

Abstract

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Keywords

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