Construction of Conceptual Prospecting Model Based on Geological Big Data: A Case Study in Songtao-Huayuan Area, Hunan Province

With the era of big data, prediction and evaluation geological mineral resources have gradually entered into a new stage from digital prospecting to intelligent prospecting. The theoretical method data mining can contribute deep resource evaluation. This paper extracts ore-causing ore-caused anomaly information based on text technology, constructs regional conceptual model data. First, we set up corpus discovery preprocessing technology. Second, used CNN multiple scale classification technology analyze two main aspects: anomalies anomalies. Third, statistical semantic links between content-words, constructed chord diagrams ternary visualize content-words their links. Finally, knowledge graphs.