The Use of Machine Learning in Social Media Sentiment Analysis: Communication Strategies in The Digital Age

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Machine learning provides faster and more accurate sentiment analysis compared to manual methods.
Analysis indicates effective sentiment classification into positive, negative, or neutral categories using algorithms like Support Vector Machine.
Case studies across major platforms like Twitter and Instagram highlight the utility of machine learning in mapping public opinion trends.
Integrating machine learning into communication strategies may enhance institutional connections with the public in a complex information landscape.

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This analysis demonstrates how machine learning improves sentiment assessment on social media, indicating enhanced communication strategies.

Noviansyah et al. (2025) studied this question.

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This analysis demonstrates how machine learning improves sentiment assessment on social media, indicating enhanced communication strategies.