Intelligent import of standard address based on geocoding and TF-IDF

Yajun Liu; Yuling Chao; Haiou Li; Hong Mei; Zhiwen Kang; Xin Chen; Guolin Song

doi:10.1117/12.2645529

23 August 2022 Intelligent import of standard address based on geocoding and TF-IDF

Yajun Liu, Yuling Chao, Haiou Li, Hong Mei, Zhiwen Kang, Xin Chen, Guolin Song

Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 123051F (2022) https://doi.org/10.1117/12.2645529
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China

Abstract

In this paper, aiming at the uniqueness check of standard address import in mobile resource management system, a standard address intelligent import method based on Geocoding and TF-IDF is proposed. Address names are standardized through Geocoding to uniform the naming rules of addresses at all levels and remove the interference of non-mandatory level names on results. The address names recorded in the system are used as the address database, and the similarity of address names is calculated through TF-IDF. The address names with high similarity are filtered out, and then the address names are judged manually. Experiments show that this method can effectively improve the accuracy of uniqueness verification and greatly reduce the manual workload.

Citation Download Citation

Yajun Liu, Yuling Chao, Haiou Li, Hong Mei, Zhiwen Kang, Xin Chen, and Guolin Song "Intelligent import of standard address based on geocoding and TF-IDF", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 123051F (23 August 2022); https://doi.org/10.1117/12.2645529

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