Folksonomy-based term extraction for word cloud generation

David Carmel; Erel Uziel; Ido Guy; Yosi Mass; Haggai Roitman

doi:10.1145/2063576.2063986

Folksonomy-based term extraction for word cloud generation

David Carmel, Erel Uziel, Ido Guy, Yosi Mass, Haggai Roitman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

In this work we study the task of term extraction for word cloud generation. We present a folksonomy-based term extraction method, called tag-boost, which boosts terms that are frequently used by the public to tag content. Our experiments with tag-boost-based term extraction over different domains demonstrate tremendous improvement in word cloud quality, as reflected by the agreement between extracted terms and manually assigned tags of the testing items. Additionally, we show that tag-boost can be effectively applied even in non-tagged domains, by using an external rich folksonomy borrowed from a well-tagged domain.

Original language	English
Title of host publication	CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management
Pages	2437-2440
Number of pages	4
DOIs	https://doi.org/10.1145/2063576.2063986
State	Published - 13 Dec 2011
Externally published	Yes
Event	20th ACM Conference on Information and Knowledge Management, CIKM'11 - Glasgow, United Kingdom Duration: 24 Oct 2011 → 28 Oct 2011

Publication series

Name	International Conference on Information and Knowledge Management, Proceedings

Conference

Conference	20th ACM Conference on Information and Knowledge Management, CIKM'11
Country/Territory	United Kingdom
City	Glasgow
Period	24/10/11 → 28/10/11

Keywords

tag-boost
term extraction
word-cloud generation

ASJC Scopus subject areas

General Decision Sciences
General Business, Management and Accounting

Access to Document

10.1145/2063576.2063986

Cite this

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title = "Folksonomy-based term extraction for word cloud generation",

abstract = "In this work we study the task of term extraction for word cloud generation. We present a folksonomy-based term extraction method, called tag-boost, which boosts terms that are frequently used by the public to tag content. Our experiments with tag-boost-based term extraction over different domains demonstrate tremendous improvement in word cloud quality, as reflected by the agreement between extracted terms and manually assigned tags of the testing items. Additionally, we show that tag-boost can be effectively applied even in non-tagged domains, by using an external rich folksonomy borrowed from a well-tagged domain.",

keywords = "tag-boost, term extraction, word-cloud generation",

author = "David Carmel and Erel Uziel and Ido Guy and Yosi Mass and Haggai Roitman",

year = "2011",

month = dec,

day = "13",

doi = "10.1145/2063576.2063986",

language = "English",

isbn = "9781450307178",

series = "International Conference on Information and Knowledge Management, Proceedings",

pages = "2437--2440",

booktitle = "CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management",

note = "20th ACM Conference on Information and Knowledge Management, CIKM'11 ; Conference date: 24-10-2011 Through 28-10-2011",

}

Carmel, D, Uziel, E, Guy, I, Mass, Y & Roitman, H 2011, Folksonomy-based term extraction for word cloud generation. in CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, pp. 2437-2440, 20th ACM Conference on Information and Knowledge Management, CIKM'11, Glasgow, United Kingdom, 24/10/11. https://doi.org/10.1145/2063576.2063986

Folksonomy-based term extraction for word cloud generation. / Carmel, David; Uziel, Erel; Guy, Ido et al.
CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. 2011. p. 2437-2440 (International Conference on Information and Knowledge Management, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Folksonomy-based term extraction for word cloud generation

AU - Carmel, David

AU - Uziel, Erel

AU - Guy, Ido

AU - Mass, Yosi

AU - Roitman, Haggai

PY - 2011/12/13

Y1 - 2011/12/13

N2 - In this work we study the task of term extraction for word cloud generation. We present a folksonomy-based term extraction method, called tag-boost, which boosts terms that are frequently used by the public to tag content. Our experiments with tag-boost-based term extraction over different domains demonstrate tremendous improvement in word cloud quality, as reflected by the agreement between extracted terms and manually assigned tags of the testing items. Additionally, we show that tag-boost can be effectively applied even in non-tagged domains, by using an external rich folksonomy borrowed from a well-tagged domain.

AB - In this work we study the task of term extraction for word cloud generation. We present a folksonomy-based term extraction method, called tag-boost, which boosts terms that are frequently used by the public to tag content. Our experiments with tag-boost-based term extraction over different domains demonstrate tremendous improvement in word cloud quality, as reflected by the agreement between extracted terms and manually assigned tags of the testing items. Additionally, we show that tag-boost can be effectively applied even in non-tagged domains, by using an external rich folksonomy borrowed from a well-tagged domain.

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KW - term extraction

KW - word-cloud generation

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M3 - Conference contribution

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T3 - International Conference on Information and Knowledge Management, Proceedings

SP - 2437

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BT - CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management

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Y2 - 24 October 2011 through 28 October 2011

ER -

Folksonomy-based term extraction for word cloud generation

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this