{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:02:42Z","timestamp":1750309362884,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T00:00:00Z","timestamp":1705622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,1,19]]},"DOI":"10.1145\/3674225.3674360","type":"proceedings-article","created":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T18:23:05Z","timestamp":1722450185000},"page":"747-751","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on power marketing data mining and clustering techniques based on Bert and k-meas"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-9724-754X","authenticated-orcid":false,"given":"Hongwei","family":"Wang","sequence":"first","affiliation":[{"name":"State Grid Tianjin Power Company Marketing Department, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7678-8017","authenticated-orcid":false,"given":"Peng","family":"Yin","sequence":"additional","affiliation":[{"name":"State Grid Tianjin Power Company Marketing Department, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8278-230X","authenticated-orcid":false,"given":"Zhitian","family":"Duan","sequence":"additional","affiliation":[{"name":"State Grid Tianjin Power Company Marketing Department, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4439-6076","authenticated-orcid":false,"given":"Yu","family":"Li","sequence":"additional","affiliation":[{"name":"State Grid Tianjin Power Company Marketing Department, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,7,31]]},"reference":[{"issue":"12","key":"e_1_3_2_1_1_1","first-page":"178","article-title":"An accurate identification method for textual information of power equipment defects based on dependent syntactic analysis [J]","volume":"44","author":"Guanyu Shao","year":"2020","unstructured":"Shao Guanyu, Wang Huifang, Wu Xianghong, An accurate identification method for textual information of power equipment defects based on dependent syntactic analysis [J]. Power System Automation, 2020, 44(12): 178-185.","journal-title":"Power System Automation"},{"issue":"4","key":"e_1_3_2_1_2_1","first-page":"126","article-title":"Power dispatch fault diagnosis based on text mining of alarm signals[J]","volume":"39","author":"Cuiyang WANG","year":"2019","unstructured":"WANG Cuiyang, JIANG Quanyuan, TANG Yajie, Power dispatch fault diagnosis based on text mining of alarm signals[J]. Power Automation Equipment, 2019, 39(4):126-132.","journal-title":"Power Automation Equipment"},{"key":"e_1_3_2_1_3_1","first-page":"445","volume-title":"High Voltage Technology","author":"Bei LIU","year":"2021","unstructured":"LIU Bei, SHANG Yinhui, LIU Ji, Intelligent mining method for distribution line trip filling text[J]. High Voltage Technology, 2021, 47(2):445-453."},{"issue":"6","key":"e_1_3_2_1_4_1","first-page":"2141","article-title":"Deep learning-based information recognition method for electric power entities[J]","volume":"45","author":"Chen JIANG","year":"2021","unstructured":"JIANG Chen, WANG Yin, HU Junhua, Deep learning-based information recognition method for electric power entities[J]. Power Grid Technology, 2021, 45(6):2141-2149.","journal-title":"Power Grid Technology"},{"key":"e_1_3_2_1_5_1","first-page":"1","article-title":"Text mining of power equipment defects based on BiLSTM-Attention neural network[J]","volume":"40","author":"Bin FENG","year":"2020","unstructured":"FENG Bin, ZHANG Yewen, TANG Xin, Text mining of power equipment defects based on BiLSTM-Attention neural network[J]. China Journal of Electrical Engineering, 2020, 40 (Suppl. 1): 1-10.","journal-title":"China Journal of Electrical Engineering"},{"key":"e_1_3_2_1_6_1","unstructured":"Shu Jiawei Yang Ting Geng Yinan A joint extraction method of overlapping entity relationships for electric power knowledge graph construction [J\/OL]. High Voltage Technology 1-11 [2023-12-25] https:\/\/hfffg1b13095ec5284139s55bb9fwf9fwu6x06fgfy.eds.tju.edu.cn\/10.13336\/j.1003-6520.hve.20230772."},{"key":"e_1_3_2_1_7_1","volume-title":"Relation extraction: perspectivefrom convolutional neural networks[C]\/\/Proceedings of the 1stWorkshop on Vector Space Modeling for Natural Language Processing","author":"NGUYEN T H, GRISHMAN","year":"2015","unstructured":"NGUYEN T H, GRISHMAN R. Relation extraction: perspectivefrom convolutional neural networks[C]\/\/Proceedings of the 1stWorkshop on Vector Space Modeling for Natural Language Processing. Stroudsburg, PA: Association for Computational Linguistics, 2015: 39-48."},{"issue":"3","key":"e_1_3_2_1_8_1","first-page":"1","article-title":"An automated framework for the extraction of semantic legal metadata from legal texts [J]","volume":"26","author":"SLEIMI A, SANNIER N, SABETZADEH","year":"2021","unstructured":"SLEIMI A, SANNIER N, SABETZADEH M, An automated framework for the extraction of semantic legal metadata from legal texts [J]. Empirical Software Engineering, 2021, 26(3):1-50.","journal-title":"Empirical Software Engineering"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.13335\/j.1000-3673.pst.2020.2145"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.16081\/j.epae.202006019"}],"event":{"name":"PEAI 2024: 2024 International Conference on Power Electronics and Artificial Intelligence","acronym":"PEAI 2024","location":"Xiamen China"},"container-title":["2024 International Conference on Power Electronics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674225.3674360","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3674225.3674360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:06:03Z","timestamp":1750291563000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674225.3674360"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,19]]},"references-count":10,"alternative-id":["10.1145\/3674225.3674360","10.1145\/3674225"],"URL":"https:\/\/doi.org\/10.1145\/3674225.3674360","relation":{},"subject":[],"published":{"date-parts":[[2024,1,19]]},"assertion":[{"value":"2024-07-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}