How It Works
Writing an email, memo, or other professional communication, and wondering how your audience will read it? We'll tell you.
re:Analysis uses machine learning to detect the tone of any piece of text, both overall and line by line.
Place your text below and hit "re:Analyze", and we'll walk you through your results for optimal audience reception.
Key:
Sentiment Score ranges from -1.0 (negative) to 1.0 (positive)
and indicates the overall emotional leaning of the text. Color-coding is based on
sentiment score.
Blue text indicates a negative score, while orange text indicates a positive score. Colors appear darker or
lighter based on the strength of the positive or negative score. For example, a score of
-.8 will be very dark, while a score of -.01 will be very light. White text indicates a
score of 0.
Sentiment Magnitude ranges from 0.0 to infinity, and indicates the strength of the emotion in the text. Because each emotional expression present in the text contributes to its magnitude, longer texts may have higher overall magnitude. Hover your cursor over each sentence in your text to view its sentiment magnitude.
Entities refer to most nouns present in the text, and appear underlined in the text. Click on each entitiy to display the sentiment score and magnitude of how it is described in the text, along with more information about that entity, if available.
Edit your text above and re-submit to see changes to score, magnitude, and entities.