Sentiment Analysis of Product Reviews Using Hybrid CNN-LSTM Models
- Version
- Download 14
- File Size 331.80 KB
- File Count 1
- Create Date 10 October 2025
- Last Updated 10 October 2025
“Sentiment Analysis of Product Reviews Using Hybrid CNN-LSTM Models”
Sanket Bhausaheb Ithape .
.( ..( Department of Data Science Dr. D. Y. Patil Arts, Commerce and Science College Pimpri)
Mathuresh Manohar Patil ..
( ..( Department of Data Science Dr. D. Y. Patil Arts, Commerce and Science College Pimpri)
Abstract –
Social media platforms (Twitter, Reddit, Facebook) are key sources of public opinion influencing market trends. This study analyzes sentiments using NLP and deep learning to correlate public mood with market performance.
Sentiment classifier categorizes posts as positive, negative, or neutral.
Findings show that social sentiment trends can predict market fluctuations and offer valuable insights for investors and policymakers.
Key Words: Sentiment analysis, social media, market trends, deep learning, NLP, data mining
Download