What types of data does General Sentiment analyze?

General Sentiment analyzes various types of data to provide comprehensive insights. Our platform leverages advanced natural language processing (NLP) techniques to analyze text-based data such as social media posts, news articles, forums, blogs, and customer reviews. We also process data from broadcast television and radio programs. Our analysis encompasses both structured and unstructured data, extracting sentiment, emotions, topics, and entities, while considering contextual nuances and language nuances. By incorporating these diverse data sources, we offer an in-depth understanding of public opinion, brand perception, market trends, and consumer behavior. Our goal is to empower businesses with actionable intelligence and assist in making informed decisions based on a holistic analysis of various data types.