说明：  在我检测假新闻的NLP项目中，我使用了LSTM人工神经网络和300维GloVe单词嵌入向量。在这里，我使用了GloVe模型300，因为我的数据集中的文本非常长，并且出于相同的原因，选择LSTM人工神经网络对模型的准确性起了很大的作用。
(In the NLP project I did to detect fake news, I used the LSTM artificial neural network with the 300-dimensional GloVe word embedding vector. Here, I used the GloVe model 300 because the texts in my data set were very long, and for the same reason, choosing the LSTM artificial neural network played a big role in the accuracy of the model.)