5 examples of sentiment analysis.
We’ve run through some of the theory, but seeing how it’s put into action can give you a deeper understanding of just exactly what sentiment analysis is. Here are five examples of where you might use sentiment analysis:
1. Enhance customer service.
Customer support teams can use sentiment data analysis to tailor responses based on how customers are feeling. They can adapt the conversation in a way that resonates deeply with customers. It can be automatic too – chatbots can be trained to spot it.
2. Brand sentiment monitoring and analysis.
Brand sentiment analysis monitors various social media platforms, such as Facebook and Instagram, as well as online news and blogs, to gauge the public feeling about your brand. Using this, it gives PR teams a chance to respond to complaints or do more of what’s positively trending.
3. Marketing sentiment analysis.
Improve your product or service offering by finding the positive and enhancing it. While also identifying the negative and scrapping it. Comments on sites, reviews, and the like give valuable insight. It’s a way to see what’s working and identify any refinements needed. This way, you’re not left in the dark.
See what’s working – are your efforts bearing the fruit of your labour? If you’ve spent on advertising campaigns, see how much ROI (return on investment) you’re getting. What are people saying on their feeds? If it’s not quite hitting the mark, change things up.
5. Monitor workplace mood.
It’s not just customers, but your employees are important too. You can monitor internal communications, like emails, chats, etc. If you want a more targeted response, you can send out surveys. Create engaging surveys with Adobe Express.