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XLNet-LSTM-CNN for Sentiment Analysis by kazitasnia20 is a document available to read on EtoBox.

What is XLNet-LSTM-CNN for Sentiment Analysis about?

The document presents a novel text sentiment classification model called XLNet-LSTM-CNN, which combines XLNet, LSTM, and CNN to enhance sentiment analysis performance. This hybrid model addresses limitations of static word vector techniques and demonstrates superior accuracy and lower loss rates compared to existing models on various datasets. The study highlights the potential applications of this model in analyzing sentiments on social media and online platforms.

Author

kazitasnia20

Language

EN