Exploring CNN, LSTM and CNN-LSTM for Sentiment Analysis in Film Reviews

View Full Paper

Ask AI

Bookmark

Authors

Discussion

This review compares CNN, LSTM, and CNN-LSTM for improved sentiment analysis accuracy in film reviews, suggesting future enhancements.

The CNN-LSTM model achieves a high accuracy rate of 98.09% in sentiment analysis.
Hybrid models leverage both CNN and LSTM for better context understanding in text.
Challenges like irony and domain generalization remain significant in sentiment analysis.
Integrating attention mechanisms could enhance model adaptability in real-world applications.

Mengyu Li (2025) studied this question.

View Full Paper

Ask AI

Bookmark