Entity Recognition Model for Natural Language Problems

Named entity recognition method can quickly and accurately identify personal names and place names in text information. An improved named entity recognition method based on deep learning is proposed. Firstly, aiming at the problem that the parameters of deep learning affect the recognition results, a multi-strategy slime mold algorithm is proposed to optimize the parameters of deep learning. Then the optimized deep learning algorithm is used for named entity recognition. Finally, through comparative simulation, the proposed method is verified to improve the accuracy of named entity recognition.