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An Analysis Method of Multi Round Interactive Semantics for Power Enterprises Based on Solr Engine

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1234))

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Abstract

The user experience is the foundation for many enterprises to settle down. One of the key points to improve the user experience is to solve the user’s problems immediately and at any time. Therefore, more and more enterprises have added online customer service and other modules in the service software to respond to customer needs at any time. On the other hand, enterprises must find a balance between improving customer experience and controlling human cost. Automatic response system can achieve zero cost and 24-hour duty, which is limited to most enterprises. However, there are some problems in traditional methods, such as single guessing information, low guessing probability and poor user experience. The purpose of this paper is to provide a multi round interactive semantic analysis method based on Solr engine, which can effectively solve the above-mentioned core problems: single guessing information, low guessing probability and poor user experience. The purpose of this paper is to provide a Solr engine based multi round interactive semantic analysis method for power enterprises. In addition to effectively solving the above core problems, it can also improve the accuracy of the semantic analysis results, so that the user consultation module can get a better user experience, use the multi round interactive semantic analysis method, and output the analysis results of user emotion dimension.

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Authors and Affiliations

  1. Information Center of Guangdong Power Grid Co., Ltd., Guangzhou, 510000, China

    Zheheng Liang, Jijun Zeng & Daohuan Jiang

  2. Yunnan Yundian Tongfang Technology Co., Ltd., Kunming, China

    Gongfeng Zhu

Authors
  1. Zheheng Liang
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  2. Jijun Zeng
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  3. Daohuan Jiang
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  4. Gongfeng Zhu
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Corresponding author

Correspondence to Zheheng Liang .

Editor information

Editors and Affiliations

  1. Department of Decision and Information Sciences, and Center for Data Science and Big Data Analytics, Oakland University, School of Business Administration, Rochester, MI, USA

    Vijayan Sugumaran

  2. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  3. Department of Informatics, University of Leicester, Leicester, UK

    Huiyu Zhou

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Liang, Z., Zeng, J., Jiang, D., Zhu, G. (2021). An Analysis Method of Multi Round Interactive Semantics for Power Enterprises Based on Solr Engine. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1234. Springer, Cham. https://doi.org/10.1007/978-3-030-51556-0_2

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