Description
Sentiment analysis uses machine learning (ML) and natural language processing (NLP) to analyze text data and determine the sentiment behind it—whether it’s positive, negative, or neutral. In the context of public relations, sentiment analysis can be used to evaluate how the public perceives a company’s actions, announcements, products, or campaigns. By understanding sentiment, companies can better align their messaging and PR strategies, addressing negative sentiments swiftly and capitalizing on positive feedback.
