Sentiment Data: Best Sentiment Datasets & Databases

What is Sentiment Data?

Sentiment data refers to information that captures the subjective opinions, attitudes, and emotions expressed by individuals towards a particular topic, product, or event. It is typically collected from various sources such as social media, customer reviews, surveys, and online discussions. Sentiment data is often analyzed using natural language processing techniques to determine the overall sentiment (positive, negative, or neutral) associated with the data, providing valuable insights for businesses and researchers.

Examples of Sentiment Data include social media posts, customer reviews, survey responses, and online comments. Sentiment Data is used to analyze and understand people’s opinions, attitudes, and emotions towards a particular topic, brand, product, or service. It helps businesses gain insights into customer satisfaction, brand perception, market trends, and public sentiment.