IBM Watson Tone Analyzer

IBM Watson Tone Analyzer is a service that 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 includi openness, conscientiousness, extroversion, agreeableness, and emotional range and identified language styles include confident, analytical, and tentative.

Languages supported:

8.0/10 (Expert Score) ★★★★★
Product is rated as #49 in category Natural Language Understanding (NLU) Software
Ease of use
8.7
Support
8.0
Ease of Setup
6.7

IBM Watson Tone Analyzer is a service that 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 includi openness, conscientiousness, extroversion, agreeableness, and emotional range and identified language styles include confident, analytical, and tentative.

IBM Watson Tone Analyzer
IBM Watson Tone Analyzer

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Customer Reviews

IBM Watson Tone Analyzer Reviews

G2 User in Telecommunications

Advanced user of IBM Watson Tone Analyzer
★★★★★
One of the best emotion analysis tools out there

What do you like best?

I love the concept and how this organized into different tone categories. It's such a useful tool and can be very flexible to implement anywhere.

What do you dislike?

I dislike how there isn't much documentation on how the tones respond to text. For instance, in general analysis (not tone utterances), the "agreeableness" tone doesn't respond to anything. I was first suspicious when it didn't register for the word "agree". After seeing it not respond to agreeable statements, I tried a lot more only to see it just isn't included in any of the scores.

Recommendations to others considering the product:

This is a great API to use in conjunction with others from IBM like the Speech-To-Text and Text-To-Speech. I would spend a lot of time considering whether or general analysis or tone_utterance analysis is right for you.

What problems are you solving with the product? What benefits have you realized?

We're using it to enable real-time analysis of call center agents when speaking with customers. It's going to allow our clients to monitor and enhance their call center experience.

Review source: G2.com

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