Wonder how your message might be perceived by the end user? Perhaps a bit too angry in your emails? Tone Analyzer can help. The IBM Watson™ Tone Analyzer Service uses linguistic analysis to detect three types of tones from text: emotion, social tendencies, and language style. Emotions identified include things like anger, fear, joy, sadness, and disgust. Identified social tendencies include things from the Big Five personality traits used by some psychologists. These include openness, conscientiousness, extroversion, agreeableness, and emotional range. Identified language styles include confident, analytical, and tentative.
Common uses for the Tone Analyzer service include:
Personal and business communications - Anyone could use the Tone Analyzer service to get feedback about their communications, which could improve the effectiveness of the messages and how they are received.
Message resonance - optimize the tones in your communication to increase the impact on your audience
Digital Virtual Agent for customer care - If a human client is interacting with an automated digital agent, and the client is agitated or angry, it is likely reflected in the choice of words they use to explain their problem. An automated agent could use the Tone Analyzer Service to detect those tones, and be programmed to respond appropriately to them.
Self-branding - Bloggers and journalists could use the Tone Analyzer Service to get feedback on their tone and fine-tune their writing to reflect a specific personality or style.
JSON that provides a hierarchical representation of the analysis of the terms in the input message
Use example text or input your own. Tone Analyzer breaks your text down into emotion, social, and language categories to help you gain more insight. It gives you an analysis of the overall tone of the content, and a sentence by sentence analysis.