Power customer complaint texts usually contain a large number of natural language texts, which may have problems such as polysemy of vocabulary, complexity of grammatical structure and subjectivity, and are difficult to classify. Therefore, a classification method for power customer complaint texts based on natural language processing technology and drosophila algorithm is proposed. The text is obtained through web crawler technology, the text is segmented by natural language processing technology, and the modal particles and stop word in the text are removed. The bag-of-words model is used to characterize the text and obtain the result of text feature representation. Based on the text preprocessing results, vectorize the complaint text of power customers. Finally, based on the text preprocessing and vectorization, the drosophila algorithm is used to realize the text classification of power customer complaints. The experimental results show that the proposed method has high text classification accuracy, recall rate, and F1 value, indicating that its classification effect is relatively accurate.
KEYWORDS: Clouds, Data processing, Data storage, Data modeling, Data acquisition, Data integration, Data analysis, Computing systems, Information fusion, Analytical research
To improve the response time of the power big data management and control service, the paper builds a more flexible and diversified management service mode. It creates a stable and reliable processing environment, combines with cloud computing technology, and designs a power big data management analysis and service method. The management and control environment is preprocessed, and the hierarchical processing mechanism is constructed in combination with the cloud computing model. Based on this, the cloud computing integrated power big data management and control model is designed, and the cloud service processing is used to realize the management and control. The final test results show that compared with the traditional multi-dimensional power big data management test group and the traditional positioning power big data management test group, the response time of the management and control service are obtained by the cloud computing power. The Big Data Management test group designed in this paper is relatively short, which indicates that it has a better management effect for power big data and has important practical significance.
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