Comment-oriented blog summarization by sentence extraction

Author

Meishan HU
Ee Peng LIM, Singapore Management UniversityFollow
Aixin SUN, Nanyang Technological University

Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

11-2007

Abstract

Much existing research on blogs focused on posts only, ignoring their comments. Our user study conducted on summarizing blog posts, however, showed that reading comments does change one's understanding about blog posts. In this research, we aim to extract representative sentences from a blog post that best represent the topics discussed among its comments. The proposed solution first derives representative words from comments and then selects sentences containing representative words. The representativeness of words is measured using ReQuT (i.e., Reader, Quotation, and Topic). Evaluated on human labeled sentences, ReQuT together with summation-based sentence selection showed promising results.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Publication

CIKM '07: Proceedings of the 16th ACM conference on Conference on information and knowledge management

First Page

901

Last Page

904

ISBN

9781595938039

Identifier

10.1145/1321440.1321571

Publisher

ACM

City or Country

Lisboa, Portugal

Citation

HU, Meishan; LIM, Ee Peng; and SUN, Aixin. Comment-oriented blog summarization by sentence extraction. (2007). CIKM '07: Proceedings of the 16th ACM conference on Conference on information and knowledge management. 901-904.
Available at: https://ink.library.smu.edu.sg/sis_research/1266

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

http://doi.org/10.1145/1321440.1321571