AI Technologies > AI Features
Sentiment Analysis
How does Sentiment Analysis work?
Sentiment analysis is an artificial intelligence (AI) technique that analyzes text to determine the underlying emotions or opinions expressed. It is used to classify a piece of writing as positive, negative or neutral. Sentiment analysis allows organizations to gain insights into how people feel about their brand, products or services by examining their written feedback and comments.
Sample Use Cases for Sentiment Analysis
Below are several examples of how entity sentiment analysis can be utilized:
Brand Monitoring
Companies can use sentiment analysis to monitor social media, online reviews and customer feedback to gauge public perception of their brand. This allows them to quickly identify and address any negative sentiment before it escalates.
Customer Service
Sentiment analysis can be applied to customer service interactions to help prioritize issues and identify unhappy customers. By analyzing the emotional tone of customer emails, chat logs and call transcripts, companies can route urgent issues to the right support teams.
Market Research
Sentiment analysis can provide valuable insights for market research by analyzing how people feel about certain products, services or industry trends. This can help companies make data-driven decisions about new product development, marketing campaigns and competitive positioning.
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