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This is a Quantitative Study study.

Sentiment Analysis of Product Reviews Using Hybrid CNN-LSTM Models

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Sentiment trends predict market fluctuations, providing insights for investors and policymakers.
A sentiment classifier categorizes social media posts as positive, negative, or neutral.
Deep learning methods, including CNN and LSTM, enhance the accuracy of sentiment analysis.
NLP techniques are crucial for analyzing sentiments across various social media platforms.

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Analysis shows that sentiment trends in social media correlate with market performance, indicating their predictive power for investors.

Ithape et al. (2025) studied this question.

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