Description
Sentiment analysis for investor communications utilizes natural language processing (NLP) to evaluate the tone and sentiment expressed in earnings calls, investor reports, and public communications. This use case helps companies gauge how their communications are perceived by investors, enabling them to adjust their messaging strategy to foster confidence and trust. By analyzing language patterns, voice tones, and word choices, AI tools can provide actionable insights into investor sentiment.
