Research on the Text Clustering of Electricity Production Safety Hazards Based on K-Means Algorithm

Author:

Meng Zhen1,Han Jingang1,Qiu Peng1,Liang Shuang2,Jiang Qingxuan2

Affiliation:

1. State Grid Liaoning Electric Power Co., Ltd. Jinzhou Power Supply Company,Jinzhou,China

2. Northeastern Electric Power University,Jilin,China

Publisher

IEEE

Reference10 articles.

1. Improved K-means algorithm based on initial clustering center selection[J];tao;Foreign Electronic Measurement Technology,2022

2. Text sentiment analysis based on CBOW model and deep learning in big data environment

3. Multi-co-training for document classification using various document representations: TF–IDF, LDA, and Doc2Vec[J];kim;Information Sciences,2018

4. An Improved Feature Selection Method for Chinese Short Texts Clustering Based on HowNet

5. A web-based kernel function for measuring the similarity of short text snippets

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