News topic detection based on hierarchical clustering and named entity

@article{Huang2011NewsTD,
  title={News topic detection based on hierarchical clustering and named entity},
  author={Sheng Huang and Xueping Peng and Zhendong Niu},
  journal={2011 7th International Conference on Natural Language Processing and Knowledge Engineering},
  year={2011},
  pages={280-284}
}
News topic detection is the process of organizing news story collections and real-time news/broadcast streams into news topics. While unlike the traditional text analysis, it is a process of incremental clustering, and generally divided into retrospective topic detection and online topic detection. This paper considers the feature changes of modern news data experienced from the past, and presents a new topic detection strategy based on hierarchical clustering and named entities. Topic… CONTINUE READING
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