Using tag semantic network for keyphrase extraction in blogs

Lizhen Qu; Christof Müller; Iryna Gurevych

doi:10.1145/1458082.1458290

Using tag semantic network for keyphrase extraction in blogs

Lizhen Qu, Christof Müller, Iryna Gurevych

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

9 Citations (Scopus)

Abstract

Folksonomies provide a comfortable way to search and browse the blogosphere. As the tags in the blogosphere are sparse, ambiguous and too general, this paper proposes both a supervised and an unsupervised approach that extract tags from posts using a tag semantic network. We evaluate the two methods on a blog dataset and observe an improvement in F1-measure from 0.23 to 0.50 when compared to the base line system.

Original language	English
Title of host publication	Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08
Pages	1381-1382
Number of pages	2
DOIs	https://doi.org/10.1145/1458082.1458290
Publication status	Published - 2008
Externally published	Yes
Event	ACM International Conference on Information and Knowledge Management 2008 - Napa Valley, United States of America Duration: 26 Oct 2008 → 30 Oct 2008 Conference number: 17th https://dl.acm.org/doi/proceedings/10.1145/1458082

Conference

Conference	ACM International Conference on Information and Knowledge Management 2008
Abbreviated title	CIKM 2008
Country/Territory	United States of America
City	Napa Valley
Period	26/10/08 → 30/10/08
Internet address	https://dl.acm.org/doi/proceedings/10.1145/1458082

Keywords

Blog
Semrank
Tag recommendation

Access to Document

10.1145/1458082.1458290

Cite this

@inproceedings{3566454ed502434b88363438d2c79994,

title = "Using tag semantic network for keyphrase extraction in blogs",

abstract = "Folksonomies provide a comfortable way to search and browse the blogosphere. As the tags in the blogosphere are sparse, ambiguous and too general, this paper proposes both a supervised and an unsupervised approach that extract tags from posts using a tag semantic network. We evaluate the two methods on a blog dataset and observe an improvement in F1-measure from 0.23 to 0.50 when compared to the base line system.",

keywords = "Blog, Semrank, Tag recommendation",

author = "Lizhen Qu and Christof M{\"u}ller and Iryna Gurevych",

year = "2008",

doi = "10.1145/1458082.1458290",

language = "English",

isbn = "9781595939913",

pages = "1381--1382",

booktitle = "Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08",

note = "ACM International Conference on Information and Knowledge Management 2008, CIKM 2008 ; Conference date: 26-10-2008 Through 30-10-2008",

url = "https://dl.acm.org/doi/proceedings/10.1145/1458082",

}

Qu, L, Müller, C & Gurevych, I 2008, Using tag semantic network for keyphrase extraction in blogs. in Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08. pp. 1381-1382, ACM International Conference on Information and Knowledge Management 2008, Napa Valley, California, United States of America, 26/10/08. https://doi.org/10.1145/1458082.1458290

TY - GEN

T1 - Using tag semantic network for keyphrase extraction in blogs

AU - Qu, Lizhen

AU - Müller, Christof

AU - Gurevych, Iryna

N1 - Conference code: 17th

PY - 2008

Y1 - 2008

N2 - Folksonomies provide a comfortable way to search and browse the blogosphere. As the tags in the blogosphere are sparse, ambiguous and too general, this paper proposes both a supervised and an unsupervised approach that extract tags from posts using a tag semantic network. We evaluate the two methods on a blog dataset and observe an improvement in F1-measure from 0.23 to 0.50 when compared to the base line system.

AB - Folksonomies provide a comfortable way to search and browse the blogosphere. As the tags in the blogosphere are sparse, ambiguous and too general, this paper proposes both a supervised and an unsupervised approach that extract tags from posts using a tag semantic network. We evaluate the two methods on a blog dataset and observe an improvement in F1-measure from 0.23 to 0.50 when compared to the base line system.

KW - Blog

KW - Semrank

KW - Tag recommendation

UR - http://www.scopus.com/inward/record.url?scp=70349239322&partnerID=8YFLogxK

U2 - 10.1145/1458082.1458290

DO - 10.1145/1458082.1458290

M3 - Conference Paper

AN - SCOPUS:70349239322

SN - 9781595939913

SP - 1381

EP - 1382

BT - Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08

T2 - ACM International Conference on Information and Knowledge Management 2008

Y2 - 26 October 2008 through 30 October 2008

ER -

Using tag semantic network for keyphrase extraction in blogs

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this