Electrical project cluster model based on text similarity algorithm in machine learning

Yuxi Zhang; Yingjing He; Keping Zhu

doi:10.1117/12.2629205

22 April 2022 Electrical project cluster model based on text similarity algorithm in machine learning

Yuxi Zhang, Yingjing He, Keping Zhu

Proceedings Volume 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021); 121740Z (2022) https://doi.org/10.1117/12.2629205
Event: International Conference on Internet of Things and Machine Learning (IoTML 2021), 2021, Shanghai, China

Abstract

At present, text similarity calculation technology is widely used in text data mining, text classification, information retrieval, information filtering, machine translation, text checking and other fields, but it is rarely used in project association. Among them, the cluster analysis of electrical projects is a cluster correlation analysis based on the text similarity of the electrical projects in the database. This study studies the related technology of text similarity calculation, and focuses on the problem that the traditional vector space model cannot reflect the special text performance ability of feature projects in different positions in the text similarity calculation, and studies its improved model: text segment vector space model, the calculation efficiency of text similarity of electrical projects is improved, and problems such as duplication of construction are effectively avoided.

Citation Download Citation

Yuxi Zhang, Yingjing He, and Keping Zhu "Electrical project cluster model based on text similarity algorithm in machine learning", Proc. SPIE 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021), 121740Z (22 April 2022); https://doi.org/10.1117/12.2629205

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