CNN-RNN: A Hybrid Convolutional and Recurrent Neural Network Approach for Cross-Domain Sentiment Analysis Using the Webemo Dataset

Globally, e-commerce and social media sites are rapidly improving every day. Social media is a dynamic platform where people can share their thoughts and feelings. Sentiment analysis plays a crucial role in understanding public sentiment. The existing method has some drawbacks, including difficulties in emotion detection and a small amount of data used for analysis. However, for cross-domain sentiment analysis using the WEBEmo dataset, the proposed model combines the convolutional neural network