Research on Intelligent Extraction of Electricity Hotspots Based on Information Mining Technology

Under the construction of new electric power system, research on how to promote the construction of electric power enterprise intelligence by improving the hotspot extraction and transformation ability of intelligence information and forming high-level enterprise intelligence results can help to promote the transformation and upgrading and high-quality development of power grid enterprises in the new era. Based on this, this paper firstly constructs a grid enterprise intelligence information mining, processing and analysis model based on TF-IDF technology, co-word analysis and other text analysis methods. Secondly, the news headlines and text information of China Power News website from October 2023 to April 2024 were crawled using Python. Finally, the proposed model was applied to analyze the news data to obtain the hot word cloud map and term frequency trend changes in each month, and the correlation between each keyword was discussed through co-word analysis. The results show that the proposed method thus forms a complete set of focus of attention and effective information acquisition process, which can help power grid enterprises to refine the key research direction and strategic layout from news intelligence information.