Research on the effectiveness of interactive e-learning mode based on artificial intelligence in English learning

E-learning, as a part of social networking services, can effectively improve the effectiveness of teaching. At the same time, in the process of knowledge dissemination, digital entertainment models can also enhance students ' interest in learning. This article analyzes the effectiveness of interactive E-Learning mode based on artificial intelligence in English learning research. The semantics of English are relatively rich, and the same meaning can be expressed using different words or expressions. By calculating the similarity of sentences, students can understand the connections and differences between different expressions. Students can master the diversity and flexibility of word meanings by comparing different sentences, thereby improving their vocabulary and expression ability. By combining word vectors with semantic similarity, we can better measure the similarity between sentences, thereby improving the efficiency and accuracy of natural language processing. We validated the effectiveness and feasibility of our model by demonstrating its ability to distinguish polysemy and its performance on word similarity datasets in experiments.