SmartNews: Towards content-sensitive ranking of comments

Marina Litvak, Leon Matz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Various news sites exist today where internet users can read the most recent news and people's opinions about. However, usually these sites do not organize comments well and do not filter irrelevant content. Due to this limitation, readers who wonder about people's opinion regarding some specific topic, have to manually follow relevant comments, reading and filtering a lot of irrelevant text. In this work, we introduce a publicly available software implementing our approach, previously introduced in (Litvak and Matz, 2013), for retrieving and ranking the relevant comments for a given paragraph of news article and vice versa. We use Topic-Sensitive PageRank for ranking comments/paragraphs relevant for a user-specified paragraph/comment.

Original languageEnglish
Title of host publication6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Companion Volume of the Proceedings
Subtitle of host publicationSystem Demonstrations
EditorsKentaro Torisawa, Hang Li
PublisherAsian Federation of Natural Language Processing
Pages37-40
Number of pages4
ISBN (Electronic)9784990734817
StatePublished - 1 Jan 2013
Externally publishedYes
Event6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Nagoya, Japan
Duration: 14 Oct 2013 → …

Publication series

Name6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Companion Volume of the Proceedings: System Demonstrations

Conference

Conference6th International Joint Conference on Natural Language Processing, IJCNLP 2013
Country/TerritoryJapan
CityNagoya
Period14/10/13 → …

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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