The current conventional sentiment lexicon mining methods mainly achieve lexical extraction by mining the sentiment features of words, which leads to poor mining effect due to the lack of building sentiment lexicon. In this regard, the intelligent mining method of sentiment lexicon of English translation text based on deep learning is proposed, and the intelligent mining algorithm is optimized by extracting lexical templates with generality, constructing sentiment lexicon, and building convolutional network to extract lexical features. In the experiments, the mining performance of the proposed method is verified. The experimental results show that the accuracy of the mining method is above 80%, which is higher than the other algorithms. The above results show that the proposed method has a more ideal effect in mining the emotional vocabulary of English translated text.