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Building the summarization model of micro-blog topic

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Abstract

Publishing review comments of micro-blog hot topic is becoming the daily round in modern smart city. With the in-depth discussion about the micro-blog topic, it is a challenge for users to understand quickly the basic content of the topic due to its gradually complex inner relationship. To solve the problem, this paper presents the construction of micro-blog topic summarization. First, the keywords are extracted based on the lexical features of words occurred in comments published by users. And then the association rules between keywords are extracted by Apriori. Second, the associated semantic network for micro-blog topic (ASN-MT), the visualization of micro-blog topic summarization, is constructed according to the extracted keywords and association rules. Third, ASN-MT is optimized by reducing its scale based on the confidence threshold. And then its optimal value is selected according to the integrity of ASN-MT. The experimental results show that the proposed algorithm can construct accurately and quickly a concise and complete micro-blog topic summarization.

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Acknowledgements

This research work was supported in part by the Anhui Provincial Natural Science Foundation Project (No.: 19808085 MF189) and the Anhui University Top Talent Cultivation Project (No. gxbjZD15).

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Authors and Affiliations

  1. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Anhui, 232001, China

    Jun Cai, Shunxiang Zhang, Hongze Zhu & Guangli Zhu

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  1. Jun Cai
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  2. Shunxiang Zhang
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  3. Hongze Zhu
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  4. Guangli Zhu
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Correspondence to Shunxiang Zhang.

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Cai, J., Zhang, S., Zhu, H. et al. Building the summarization model of micro-blog topic. J Ambient Intell Human Comput 12, 797–809 (2021). https://doi.org/10.1007/s12652-020-02078-9

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