Sentiment analysis

Sentiment analysis is a method that reads social media mentions and comments and labels them as positive, negative, or neutral, so you can measure how people feel about your brand at scale.

In more detail

Sentiment analysis uses natural language processing to score the tone of text, usually as positive, negative, or neutral, and sometimes as specific emotions like anger or joy. It turns thousands of comments, reviews, and mentions into a number you can track over time, instead of reading each one by hand. The tradeoff is accuracy: sarcasm, slang, and context still trip up automated tools, so the numbers show you trends and spikes rather than a perfect verdict on every single post.

Example

If your brand gets 500 mentions in a week and the tool tags 350 positive, 100 neutral, and 50 negative, your net sentiment is roughly 60 percent positive. A sudden jump in negative mentions after a product launch is your signal to dig in and find out what went wrong.

FAQ