What does a data analyst aim to achieve through sentiment analysis?

A data analyst uses sentiment analysis primarily to understand user behavior based on interactions. Sentiment analysis involves examining text data to determine the emotional tone behind it, which enables analysts to gauge how users feel about a product, service, or topic. By analyzing user-generated content such as reviews, social media posts, or survey responses, analysts can identify trends in public perception and sentiment. This understanding can inform decisions on marketing strategies, product development, customer service improvements, and overall user engagement.

While the other options focus on different analytical goals—like financial performance evaluation, operational efficiency measurement, and testing experimental data validity—they do not directly relate to the subjective and emotional insights that sentiment analysis seeks to provide about user interactions.