IBM Watson Developer Cloud

Sample use cases

Choose an example to learn how you can adjust the tone of your content to change people's perceptions, or improve its effectiveness. Learn more.


Output

The Tone Analyzer Service analyzes text at the document level and the sentence level. Use the document level analysis to get a sense of the overall tone of the document, and use the sentence level analysis to identify specific areas of your content where tones are the strongest.

To understand how to interpret your tone score, see Understand your Tone Score.

Document-level

Emotion

< .5 = not likely present
≥ .5 = likely present
> .75 = very likely present

Language Style

< .5 = not likely present
≥ .5 = likely present
> .75 = very likely present

The Emotion graph represents the likelihood that an emotion tone is present in the text. Learn more.

The Language Style and Social Tendencies graphs represent the amount of a language or social tone present in the text. Learn more.

For details on how Tone Analyzer detects tone in text see, The Science Behind the Tone Analyzer Service.

            
          

Sentence-level

Identify sentences with stronger tones in context or sorted by score. Highlighted sentences indicate the likelihood of a tone present. If more than one tone is present, the stronger one is shown. Click on a sentence to see a breakdown of all tones.

Tones

Emotion

Language

Social Tendencies

In sentences_tone, each sentence_id receives a raw_score for each tone in a category. Understand how to normalize raw scores or customize thresholds for your use case in the Documentation.