Online topic detection and tracking of financial news based on hierarchical clustering

@article{Dai2010OnlineTD,
  title={Online topic detection and tracking of financial news based on hierarchical clustering},
  author={Xiang-Ying Dai and Qingcai Chen and Xiaolong Wang and Jun Xu},
  journal={2010 International Conference on Machine Learning and Cybernetics},
  year={2010},
  volume={6},
  pages={3341-3346}
}
In this paper, we apply TDT technology to the vertical search engine in the financial field. The returned results are grouped into several topics with the stock as the unit. Then we show the topics to the users in time series order. As a result, users can easily learn about the important events which belong to a stock. Moreover, the causes and the effects of these events can also be found out easily. We improve the common agglomerative hierarchical clustering algorithm based on average-link… CONTINUE READING

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