Unified analysis of streaming news

  title={Unified analysis of streaming news},
  author={Amr Ahmed and Q. Ho and Jacob Eisenstein and E. Xing and Alex Smola and C. Teo},
  • Amr Ahmed, Q. Ho, +3 authors C. Teo
  • Published in WWW 2011
  • Computer Science
  • News clustering, categorization and analysis are key components of any news portal. They require algorithms capable of dealing with dynamic data to cluster, interpret and to temporally aggregate news articles. These three tasks are often solved separately. In this paper we present a unified framework to group incoming news articles into temporary but tightly-focused storylines, to identify prevalent topics and key entities within these stories, and to reveal the temporal structure of stories as… CONTINUE READING
    85 Citations
    Exploiting Structured News Information to Improve Event Detection via Dual-Level Clustering
    • Shuqi Yu, Bin Wu
    • Computer Science
    • 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC)
    • 2018
    • 4
    Multilingual Clustering of Streaming News
    • 5
    • PDF
    Exploring Entity-centric Networks in Entangled News Streams
    • 6
    • PDF
    Analyzing evolving stories in news articles
    • 7
    • PDF
    Unsupervised Storyline Extraction from News Articles
    • 9
    • PDF
    An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles
    • 15
    • Highly Influenced
    • PDF
    newsLens: building and visualizing long-ranging news stories
    • 10
    • PDF
    Mining evolutionary multi-branch trees from text streams
    • 18
    • PDF
    Nonparametric Bayesian Storyline Detection from Microtexts
    • 2
    • PDF


    Online Inference of Topics with Latent Dirichlet Allocation
    • 219
    • Highly Influential
    • PDF
    Latent Dirichlet Allocation
    • 26,046
    • Highly Influential
    • PDF
    Scalable Techniques for Clustering the Web
    • 179
    • Highly Influential
    Similarity Search in High Dimensions via Hashing
    • 3,239
    • Highly Influential
    • PDF
    Exchangeable and partially exchangeable random partitions
    • 486
    • Highly Influential
    • PDF
    The online infinite topic-cluster model: storylines from streaming
    • text. CMU-ML-11-100,
    • 2011