Sentiment Analysis: Understanding Opinions at Scale
Sentiment Analysis: Understanding Opinions at Scale Sentiment analysis helps teams read opinions at scale by turning free text into simple signals. Companies use it to track how people feel about a product, a brand, or a campaign. The goal is to turn messy reviews and posts into reliable scores that guide decisions. To do this well, data quality matters. Start with data collection, then cleaning, annotation, and choosing an approach. You can use rule-based checks for clear phrases, or train models with labeled examples. In practice, many teams blend methods: a strong baseline model plus human review for edge cases. This mix keeps results practical and explainable. ...