Construction of topics and clusters in Topic Detection and Tracking tasks

Masnizah Mohd, Fabio Crestani, Ian Ruthven

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper discussed the construction of topics to be tracked and clusters to be detected in Topic Detection and Tracking (TDT) tasks. Single Pass Clustering was used to cluster the news articles. As a result, the TDT tasks contained a combination of a good and poor clustering performance based on the F1-measure. Therefore, the selection of clusters and topics from the clustering experiment is important in the Tracking and the Detection tasks. It has contributed towards the user experimental design.

Original languageEnglish
Title of host publication2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
Pages171-174
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Design of experiments
Experiments

Keywords

  • Single Pass Clustering
  • Topic Detection and Tracking
  • user tasks

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Cite this

Mohd, M., Crestani, F., & Ruthven, I. (2011). Construction of topics and clusters in Topic Detection and Tracking tasks. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 (pp. 171-174). [5995784] https://doi.org/10.1109/STAIR.2011.5995784

Construction of topics and clusters in Topic Detection and Tracking tasks. / Mohd, Masnizah; Crestani, Fabio; Ruthven, Ian.

2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 171-174 5995784.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohd, M, Crestani, F & Ruthven, I 2011, Construction of topics and clusters in Topic Detection and Tracking tasks. in 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011., 5995784, pp. 171-174, 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/STAIR.2011.5995784
Mohd M, Crestani F, Ruthven I. Construction of topics and clusters in Topic Detection and Tracking tasks. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 171-174. 5995784 https://doi.org/10.1109/STAIR.2011.5995784
Mohd, Masnizah ; Crestani, Fabio ; Ruthven, Ian. / Construction of topics and clusters in Topic Detection and Tracking tasks. 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. pp. 171-174
@inproceedings{ff1db5173fa8454082a7100631a7f9c5,
title = "Construction of topics and clusters in Topic Detection and Tracking tasks",
abstract = "This paper discussed the construction of topics to be tracked and clusters to be detected in Topic Detection and Tracking (TDT) tasks. Single Pass Clustering was used to cluster the news articles. As a result, the TDT tasks contained a combination of a good and poor clustering performance based on the F1-measure. Therefore, the selection of clusters and topics from the clustering experiment is important in the Tracking and the Detection tasks. It has contributed towards the user experimental design.",
keywords = "Single Pass Clustering, Topic Detection and Tracking, user tasks",
author = "Masnizah Mohd and Fabio Crestani and Ian Ruthven",
year = "2011",
doi = "10.1109/STAIR.2011.5995784",
language = "English",
isbn = "9781612843537",
pages = "171--174",
booktitle = "2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011",

}

TY - GEN

T1 - Construction of topics and clusters in Topic Detection and Tracking tasks

AU - Mohd, Masnizah

AU - Crestani, Fabio

AU - Ruthven, Ian

PY - 2011

Y1 - 2011

N2 - This paper discussed the construction of topics to be tracked and clusters to be detected in Topic Detection and Tracking (TDT) tasks. Single Pass Clustering was used to cluster the news articles. As a result, the TDT tasks contained a combination of a good and poor clustering performance based on the F1-measure. Therefore, the selection of clusters and topics from the clustering experiment is important in the Tracking and the Detection tasks. It has contributed towards the user experimental design.

AB - This paper discussed the construction of topics to be tracked and clusters to be detected in Topic Detection and Tracking (TDT) tasks. Single Pass Clustering was used to cluster the news articles. As a result, the TDT tasks contained a combination of a good and poor clustering performance based on the F1-measure. Therefore, the selection of clusters and topics from the clustering experiment is important in the Tracking and the Detection tasks. It has contributed towards the user experimental design.

KW - Single Pass Clustering

KW - Topic Detection and Tracking

KW - user tasks

UR - http://www.scopus.com/inward/record.url?scp=80052598173&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052598173&partnerID=8YFLogxK

U2 - 10.1109/STAIR.2011.5995784

DO - 10.1109/STAIR.2011.5995784

M3 - Conference contribution

AN - SCOPUS:80052598173

SN - 9781612843537

SP - 171

EP - 174

BT - 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011

ER -