Diversifying user comments on news articles

Giorgos Giannopoulos, Ingmar Weber, Alejandro Jaimes, Timos Sellis

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

12 Citations (Scopus)

Abstract

In this paper we present an approach for diversifying user comments on news articles. In our proposed framework, we analyse user comments w.r.t. four different criteria in order to extract the respective diversification dimensions in the form of feature vectors. These criteria involve content similarity, sentiment expressed within comments, article's named entities also found within comments and commenting behavior of the respective users. Then, we apply diversification on comments, utilizing the extracted features vectors. The outcome of this process is a subset of the initial comments that contains heterogeneous comments, representing different aspects of the news article, different sentiments expressed, as well as different user categories, w.r.t. their commenting behavior. We perform a preliminary qualitative analysis showing that the diversity criteria we introduce result in distinctively diverse subsets of comments, as opposed to a baseline of diversifying comments only w.r.t. to their content (textual similarity). We also present a prototype system that implements our diversification framework on news articles comments.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages100-113
Number of pages14
Volume7651 LNCS
DOIs
Publication statusPublished - 26 Nov 2012
Externally publishedYes
Event13th International Conference on Web Information Systems Engineering, WISE 2012 - Paphos, Cyprus
Duration: 28 Nov 201230 Nov 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7651 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th International Conference on Web Information Systems Engineering, WISE 2012
CountryCyprus
CityPaphos
Period28/11/1230/11/12

Fingerprint

Diversification
Feature Vector
Subset
Qualitative Analysis
Baseline
Prototype
Similarity
Framework

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Giannopoulos, G., Weber, I., Jaimes, A., & Sellis, T. (2012). Diversifying user comments on news articles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7651 LNCS, pp. 100-113). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7651 LNCS). https://doi.org/10.1007/978-3-642-35063-4_8

Diversifying user comments on news articles. / Giannopoulos, Giorgos; Weber, Ingmar; Jaimes, Alejandro; Sellis, Timos.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7651 LNCS 2012. p. 100-113 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7651 LNCS).

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

Giannopoulos, G, Weber, I, Jaimes, A & Sellis, T 2012, Diversifying user comments on news articles. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7651 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7651 LNCS, pp. 100-113, 13th International Conference on Web Information Systems Engineering, WISE 2012, Paphos, Cyprus, 28/11/12. https://doi.org/10.1007/978-3-642-35063-4_8
Giannopoulos G, Weber I, Jaimes A, Sellis T. Diversifying user comments on news articles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7651 LNCS. 2012. p. 100-113. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-35063-4_8
Giannopoulos, Giorgos ; Weber, Ingmar ; Jaimes, Alejandro ; Sellis, Timos. / Diversifying user comments on news articles. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7651 LNCS 2012. pp. 100-113 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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