Sentiment analysis, also called opinion mining, identifies an online text’s emotional undertone and determines whether it’s positive, negative or neutral.
Detailed Explanation
Put simply, sentiment analysis helps understand someone’s viewpoint about a subject. Companies often conduct sentiment analysis to monitor brand perception, customer satisfaction, and feedback to understand their target market better.
Businesses also have significant written information, such as customer support chats, social media replies, and comments, reviews, and testimonials. They use sentiment analysis tools to study users’ viewpoints on various topics and categorize them for future use.
For example, customers with a “positive” sentiment will likely stay loyal to the company, making them suitable for retention tactics, such as discounts and loyalty points. Customers with a “negative” sentiment need further persuasion.
Here are a few examples of sentiment analysis tools.
1. Rosette: This sentiment analysis tool is compatible with more than 30 languages, especially helpful for multilingual companies. This helps companies assess digital data smoothly.
2. MeaningCloud: This tool highlights if a topic garnered positive, negative or neutral sentiments by social media users.
3. Social Mention: This free and easy-to-use tool helps you look up a keyword’s performance, including reviews, mentions, and comments.
4. Awario: The tool not only analyzes tweets and posts but also users’ sentiments around keywords and your brand.