Sentiment analysis – AI techniques for emotion detection in text

Sentiment analysis is one of the key applications of AI techniques in the field of prompt engineering. As the first in a series of AI applications we will cover, sentiment analysis uses natural language processing to identify and extract emotional signals from text data. The goal is to gauge the overall attitude or feeling within a piece of writing, for instance, determining whether a product review is positive or negative.

The most common uses of sentiment analysis are as follows:

• Brand monitoring: Brands can track conversations happening online to monitor their reputation. Sentiment analysis allows them to detect PR issues as they emerge and measure the impact of marketing campaigns.
• Customer service: Customer experience teams can aggregate feedback at scale by analyzing surveys, reviews, and social media mentions. This provides data-driven insights into where people are satisfied or frustrated...