Visualizing Trends of Key Roles in News Articles
There are tons of news articles generated every day reflecting the activities of key roles such as people, organizations and political parties. Analyzing these key roles allows us to understand the trends in news. In this paper, we present a demonstration system that visualizes the trend of key roles in news articles based on natural language processing techniques. Specifically, we apply a semantic role labeler and the dynamic word embedding technique to understand relationships between key roles in the news across different time periods and visualize the trends of key role and news topics change over time.
Code (1)
Tasks
ArticlesSimilar Papers 제목 키워드 기반
Crime event localization and deduplication
Crime analysis is an approach for identifying patterns and trends in crime events, while information extraction is the task of extracting relevant information from unstructured data. If crime reports are not directly ava…
ArticlesEvent ExtractionInformation Retrievalnamed-entity-recognition+4newsLens: building and visualizing long-ranging news stories
We propose a method to aggregate and organize a large, multi-source dataset of news articles into a collection of major stories, and automatically name and visualize these stories in a working system. The approach is abl…
ArticlesNavigateNewsDeps: Visualizing the Origin of Information in News Articles
In scientific publications, citations allow readers to assess the authenticity of the presented information and verify it in the original context. News articles, however, do not contain citations and only rarely refer re…
ArticlesFrom Text to Context: An Entailment Approach for News Stakeholder Classification
Navigating the complex landscape of news articles involves understanding the various actors or entities involved, referred to as news stakeholders. These stakeholders, ranging from policymakers to opposition figures, cit…
ArticlesNatural Language InferencePersonalized News Recommendation with Context Trees
The profusion of online news articles makes it difficult to find interesting articles, a problem that can be assuaged by using a recommender system to bring the most relevant news stories to readers. However, news recomm…
ArticlesNews RecommendationRecommendation Systems