Sentiment analysis is a technique used to determine the emotional tone of a piece of text. It can be used to analyze social media posts, reviews, articles, or any other type of written content. The goal of sentiment analysis is to identify the writer’s attitude, whether it be positive, negative, or neutral. Generally, sentiment analysis is performed on a body of text, such as social media posts, movie reviews, or survey responses.
The goal is to identify the overall attitude of the text. To do this, sentiment analysis looks for words that carry positive or negative sentiments. It then assigns a score to the text based on the number of positive and negative sentiment words. The text can be positive, negative, or neutral. The aim of sentiment analysis is to automatically identify, quantify, and classify opinions to understand attitudes, opinions, and emotions.
Example
Social Champ offers a sentiment analysis feature that helps users analyze how their posts sound to their audience.

With Social Champ, effortlessly apply the best practices you’ve just learned. Schedule posts, analyze performance, and engage with your audience—all in one place.