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August 2, 2025International Journal of Environmental Sciences

Deep Hybrid CNN-LSTM Framework For Advanced Social Media Sentiment Analysis In Data-Driven Marketing Analytic

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Authors

SMShrabani MallickMAMrs. Parul AwasthiAYAnil Kumar Yadav

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Overview

Hybrid cnn-lstm model improves sentiment analysis accuracy in social media, indicating its potential in marketing analytics.

Key Points

  • Achieving an accuracy of 91% indicates the model's effectiveness in sentiment classification.
  • The cnn-lstm architecture outperformed traditional models like naive bayes and svm, using data from social media.
  • This analytical approach involved preprocessing techniques like tokenization and stop word deletion for better results.
  • The findings suggest that hybrid models can enhance marketing strategies through real-time sentiment monitoring.

Cite This Study

Mallick et al. (2025) studied this question.

synapsesocial.com/papers/68af2d76cf1dd9ea359e54ffhttps://doi.org/10.64252/82p5f018
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