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Large scale MicroBlog location data capture method based on dynamic web page parsing

Yu Ji et al.

International Journal of Web Based Communities2025https://doi.org/10.1504/ijwbc.2025.145137article
ABDC C
Weight
0.50

What the paper says

Due to the large scale of data, the deviation coefficient of the captured data is large and the capture efficiency is low. To this end, a large-scale Weibo location data retrieval method based on dynamic web page parsing is proposed. Firstly, based on the source of Weibo location data, artificial neural models and random functions are introduced to calculate the weights of feature data. Next, generate a feature vector table and classifier model, and filter the feature text using the established classification model. Finally, by matching the feature data of Weibo location data between dynamic script sites and web pages, a dynamic script parsing framework for Weibo location data on web pages is constructed, and dynamic web page parsing technology is used to capture Weibo location data. The experimental results show that the proposed method has only a 0.1% error in data capture bias, and the capture efficiency reaches 99%. Therefore, this method can significantly improve the crawling effect of large-scale Weibo location data and has certain feasibility.

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https://doi.org/https://doi.org/10.1504/ijwbc.2025.145137

Or copy a formatted citation

@article{yu2025,
  title        = {{Large scale MicroBlog location data capture method based on dynamic web page parsing}},
  author       = {Yu Ji et al.},
  journal      = {International Journal of Web Based Communities},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijwbc.2025.145137},
}

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Large scale MicroBlog location data capture method based on dynamic web page parsing

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.