Sentiment analysis helps businesses understand customer emotions and opinions, driving improvements in products and services. In the Big Data era, sentiment analysis leverages the 3Vs (volume, variety, and velocity) to gain valuable insights and maintain a competitive edge. The process involves decoding emotions in text using NLP, machine learning, and deep learning techniques. While simple methods like rule-based and lexicon-based approaches work for basic tasks, more advanced methods offer greater accuracy for complex scenarios. A hybrid approach combines the strengths of both, making sentiment analysis an essential tool for better decision-making and enhanced business outcomes.
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