Sentiment analysis, also known as opinion mining, is a subfield of natural language processing (NLP) that identifies and extracts opinions.
Sentiment analysis is the interpretation and classification of positive, negative, and neutral sentiment within text data:
In the past, companies relied on traditional methods like surveys and focus groups to gather consumer feedback. However, it is now possible to analyze text from a variety of sources with greater accuracy and less effort thanks to machine learning and artificial intelligence technologies.
Matching patients with a specialist to improve health outcomes
Customer feedback analysis
Sentiment analysis helps gauge people's positive, negative, or neutral reactions to determine what people think. That information helps indicate if a product, service, or message needs to be adjusted to match an intended audience sentiment better.