Decoding Consumer Sentiment through Machine Learning: Analysing Social Media Trends and Behaviours
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Abstract
Social media platforms have become indispensable channels for public opinion, customer feedback, and brand perception. Analysing this vast repository of user-generated content enables businesses to gain deep insights into consumer sentiment and behaviour. This paper presents the "Social Media Sentiment Analyzer," an interdisciplinary initiative that combines marketing and Information Technology to develop a machine learning-based tool for sentiment analysis. The tool processes social media posts to classify them as positive, negative, or neutral, offering organizations actionable insights for strategic decision-making [1].
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