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Customer sentiment analysis is a data processing technique that evaluates and interprets customers’ opinions, emotions, and attitudes from their written or spoken feedback. This analysis transforms subjective “customer sentiment” into actionable insights, allowing businesses to understand and respond to customer perceptions effectively.
Customer sentiment analysis is crucial for businesses because it enables them to understand the emotions and opinions of their customers towards their products or services. This understanding helps in identifying customer needs, improving product quality, enhancing customer service, and tailoring marketing strategies.
Real-time sentiment analysis plays a pivotal role in the realm of Big Data. As people actively share their views and opinions on platforms like Facebook, a wealth of textual information is generated in real time. By analysing this data, we gain insights into public sentiment, political decisions, and public opinion. Organisations can leverage sentiment analysis to monitor brand experiences, customer sentiments, and campaign performance. It’s a powerful tool for understanding how people feel about specific subjects, making it essential in today’s data-driven landscape.