Sentiment Classification Using Hierarchical Attention Convolutional Network with Twitter Data

Key Points

• The aim is to improve sentiment classification by utilizing a hierarchical attention convolutional network with Twitter data.
• Developed a hierarchical attention convolutional network for analysis.
• Used Twitter data for sentiment classification tasks.
• Analyzed performance compared to traditional methods.
• Achieved improved accuracy in sentiment classification tasks.
• Demonstrated effectiveness in understanding public sentiment through social media.