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Extracting News Information Based on Webpage Segmentation and Parsing DOM Tree Reversely

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Book cover Trustworthy Computing and Services (ISCTCS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 520))

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Abstract

A new method of extracting news information based on webpage segmentation and parsing DOM tree reversely is presented and implemented in this paper, which intends to effectively extract news information for data mining. The method is proposed to get webpages’ main DOM structure by segmenting webpages, further parse the main DOM structure reversely and finally extract news content, headlines, news agents and publication time. The experimental results show that the proposed method has achieved good performance on accuracy and meets the project demands.

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Acknowledgement

This work was supported by the Major Research Plan of the National Natural Science Foundation of China [91124002] and the Fundamental Research Funds for the Central Universities [2013RC0301].

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Correspondence to Jing Li .

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Li, J., Lu, Y., Zhang, X. (2015). Extracting News Information Based on Webpage Segmentation and Parsing DOM Tree Reversely. In: Yueming, L., Xu, W., Xi, Z. (eds) Trustworthy Computing and Services. ISCTCS 2014. Communications in Computer and Information Science, vol 520. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47401-3_7

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  • DOI: https://doi.org/10.1007/978-3-662-47401-3_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47400-6

  • Online ISBN: 978-3-662-47401-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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