Eve2Sign: Creating signed networks of news events

Roshni Chakraborty, Srishti Bhandari, Nilotpal Chakraborty, Ritwika Das

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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.
TidsskriftCEUR Workshop Proceedings
Sider (fra-til)79-87
Antal sider9
StatusUdgivet - apr. 2020
Begivenhed3rd Workshop on Narrative Extraction From Texts, Text2Story 2020 - Lisbon, Portugal
Varighed: 14 apr. 2020 → …


Konference3rd Workshop on Narrative Extraction From Texts, Text2Story 2020
Periode14/04/2020 → …

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