Binary Sentiment Analysis and Sentiment Marketing Strategy Optimization of E-Commerce Platform User Comments Based on Deep Learning Algorithm

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Sentiment-aware marketing strategies increased customer conversion by 73.3%, enhancing e-commerce profitability.
The bi-gram HMMO model achieved 95.6% accuracy in sentiment analysis, demonstrating significant advancements over traditional methods.
Analysis indicated positive sentiments are tied to product quality and customer service, while negative sentiments relate to defects.
Engagement from sentiment-based recommendations rose by 136.6%, underlining the importance of personalized marketing efforts.

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Binary sentiment analysis improves marketing strategies in e-commerce, indicating better customer engagement and profitability.

Gao et al. (2025) studied this question.

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