What is Sentiment Analysis?
Also: Sentiment analysis
Sentiment analysis, extraction of sentiment/attitude from text. It is also referred to as Sentiment analysis in the literature.
In the context of artificial intelligence
In the context of artificial intelligence, sentiment analysis is evaluated alongside model quality, data quality, compliance with KVKK, and principles of explainability.
Practical framework
Reliable analytics depend on consistently collected data and clearly defined metrics.
In summary
In summary, sentiment analysis is one of the building blocks that constitute the digital maturity of a healthcare institution; it is an approach that generates value when properly structured, rather than just a singular tool.
For more in-depth information, you can refer to the AI-Supported Hospital Management page, and for related concepts, check the Digital Dictionary page.
Sık Sorulan Sorular
What is sentiment analysis?
Extraction of sentiment/attitude from text. (Also known as Sentiment analysis)
How is sentiment analysis used in AI-supported processes?
Sentiment analysis plays a role in transforming clinical and operational data into insights; it does not make decisions but supports the decisions of relevant teams.
Under which category is sentiment analysis evaluated?
Sentiment analysis is addressed under the Artificial Intelligence category in the context of health information systems and digital transformation.