Sentiment Analysis uses Text Analytics and Natural Language Processing (NLP) to discern the sentiment or mood of any piece of text. At its simplest, Sentiment Analysis classifies the underlying mood of the author (positive, neutral, negative). More advanced methods can distinguish different emotional states (e.g., sadness, anger, or happiness). By analyzing social media posts, blogs, customer interactions, etc., we offer deep insights into the perceptions and conversations about your (and your competitor’s) products, services, branding, ads, campaigns, and public relations measures.
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