A Financial Advertisement Recognition Algorithm Model Based on Text

Acquisition and intelligent recognition of financial advertising is the premise of monitoring and managing it. This paper studies how to obtain and intelligently recognize financial advertisements, proposes an algorithm of financial search terms extension based on graph constructed from context, and a XGBoost multi model algorithm of financial advertisement recognition combined with multi text representation such as Word2Vec and ELMo and machine learning models such as CNN and RNN, constructs a model of financial advertisement recognition algorithm based on text, and realizes the specific recognition of financial advertisement. The intelligent acquisition and accurate identification of advertising provides data support for further multi-dimensional analysis, and lays a solid foundation for the subsequent governance of illegal financial advertising.