Eve2Sign: Creating signed networks of news events

Roshni Chakraborty, Srishti Bhandari, Nilotpal Chakraborty, Ritwika Das

Research output: Contribution to journalConference article in JournalResearchpeer-review

Abstract

Studying news events and user opinions towards the news events have several applications, like detection of the popularity of the news, understanding user preferences and stance towards particular news, determining the evolution of the news story, etc. One of the major ways to understand a news event is through the main characters (targets) of the event and the relationships among those targets with respect to the news event. Therefore, in this paper, we propose an approach to creating a signed network of the news event to visualize the targets and their interrelationships. Our experimental evaluations on 3 news events indicate that the proposed approach can detect a large number of relevant goals related to any news event without supervision and, further, create a signed network effectively.
Original languageEnglish
JournalCEUR Workshop Proceedings
Volume2593
Pages (from-to)79-87
Number of pages9
ISSN1613-0073
Publication statusPublished - Apr 2020
Event3rd Workshop on Narrative Extraction From Texts, Text2Story 2020 - Lisbon, Portugal
Duration: 14 Apr 2020 → …

Conference

Conference3rd Workshop on Narrative Extraction From Texts, Text2Story 2020
Country/TerritoryPortugal
CityLisbon
Period14/04/2020 → …

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