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.
|Journal||CEUR Workshop Proceedings|
|Number of pages||9|
|Publication status||Published - Apr 2020|
|Event||3rd Workshop on Narrative Extraction From Texts, Text2Story 2020 - Lisbon, Portugal|
Duration: 14 Apr 2020 → …
|Conference||3rd Workshop on Narrative Extraction From Texts, Text2Story 2020|
|Period||14/04/2020 → …|
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