Use Modern AI for real-time sentiment analysis
Rebranding? Launching a new product? Discover how people really feel about topics across social channels, and incorporate their feedback before your competitors capitalize on it.
What is sentiment analysis?
Sentiment analysis is a natural language processing technique that uses machine learning algorithms to identify and extract subjective information from text, such as opinions, emotions, and attitudes.
What are the benefits of using Modern AI for sentiment analysis?
- Improved accuracy: analyze large amounts of data with greater accuracy than manual analysis, allowing organizations to make more informed decisions based on reliable insights.
- Real-time processing: foundation models can process large amounts of data in real-time, allowing organizations to quickly respond to customer feedback and address any concerns or issues.
- Insights and trends: provide valuable insights and identify trends and patterns in customer feedback, allowing organizations to make data-driven decisions and improve customer satisfaction.
- Scalability: easily scale to handle large volumes of data, making it suitable for businesses of all sizes.
Who can benefit?
Companies that can benefit from analyzing customer feedback and sentiment can potentially use modern AI for sentiment analysis.
- eCommerce: analyze customer feedback and product reviews to improve product recommendations, optimize pricing strategies, and enhance customer satisfaction.
- Healthcare: analyze patient feedback, identify areas for improvement, and enhance patient satisfaction.
- Finance: monitor market trends and financial news, analyze public opinion and social media sentiment, and make data-driven investment decisions.
- Customer service: monitor customer feedback and sentiment, identify areas for improvement, and provide personalized support and solutions to customers.
