What does sentiment analysis allow AI to do?

Sentiment analysis is a powerful application of AI that focuses on understanding the emotional tone conveyed in textual data. It utilizes natural language processing (NLP) techniques to assess and categorize the sentiments expressed in various forms of communication, such as social media posts, customer reviews, or survey responses. By analyzing the words, phrases, and context within the text, sentiment analysis can determine whether the sentiment is positive, negative, or neutral.

This capability is particularly valuable for businesses and organizations, as it enables them to gauge customer opinions and feelings about their products, services, or brand. By understanding the emotional nuances behind the words, companies can make informed decisions about marketing strategies, customer support, and product development.

The other options do not align with the primary function of sentiment analysis. Calculating numerical data is more relevant to data analytics and statistical analysis, predicting stock market trends involves complex algorithms and financial modeling, and controlling smart devices pertains to IoT (Internet of Things) technologies rather than sentiment recognition in text.