Twitter Sentiment Analysis: Understanding What People Really Think About Your Brand

Not all mentions are equal. A hundred tweets about your brand could be mostly praise or mostly criticism—and the difference matters for strategy and crisis response. Sentiment analysis uses AI to classify tweets as positive, neutral, or negative so you can see the big picture without reading every tweet.

What Is Sentiment Analysis?

Why It Matters for Brands

Volume alone is misleading. A spike in mentions could be a viral complaint or a successful campaign. Sentiment tells you which. Track sentiment over time to see if a product launch or PR move improved perception. Use it in crisis mode to gauge whether your response is calming the conversation.

How TweetNotifier Uses Sentiment

TweetNotifier runs AI-powered sentiment on every matching tweet. You can filter alerts by sentiment (e.g., “only notify me for negative mentions”) and see sentiment trends in your dashboard. That way you react to negativity quickly and celebrate positive buzz without drowning in data.

Using Sentiment in Strategy

Review sentiment weekly or monthly alongside volume and engagement. If sentiment drops, dig into themes (support issues, pricing, a bad launch) and address them. Share positive sentiment and testimonials with sales and marketing. Over time, sentiment analysis turns raw Twitter noise into a clear narrative about your brand.