Extract sentiment and emotion easily from text as you browse the web.
Analyse unstructured text at scale, categorising individual messages according to their intent or segmenting users by their personality type.
✔ Language Detection
Establish the language spoken by each user, even when their spelling and grammar is poor.
✔ Text Sentiment Analysis
Start by understanding and responding appropriately to messages conveying different sentiments.
✔ Emotion Text Analysis
Categorise textual data by the emotions of the author, using Paul Ekman’s universal emotion model.
✔ Communication Style Analysis
Categorise users’ posts and messages by their tone – so you can strike the right note when you respond.
✔ Personality Traits Detection
Segment your customers or employees according to their personality type – based only on what they write.
✔ Aspect Based Sentiment Analysis
Target specific subjects of interest and the sentiments that your users display towards them.
With this extension, you can analyze online reviews, chat messages, support tickets, emails, and much more. Our unique combination of psychology and AI enables the deepest level of understanding of not only what someone is saying, but how they say it. Decode the communication characteristics of the message and engage with the author in the right way.
We designed AI-Powered Text Insights with simplicity in mind. It is compatible with almost all text, regardless of source, including web apps such as Trello or Slack, social networks such as Facebook or Linkedin, review sites such as Tripadvisor or Yelp, online e-mail services such as Gmail, and much more.
This extension uses Symanto's Psycholinguistic Text Analytics API. More information about this API and access to a free API key can be found on https://www.symanto.com/api/
Your privacy is important to us: by default, this extension will check your text by sending it to https://developer.symanto.net over a securely encrypted connection. No account is needed to use this extension.
List of supported languages: English, German and Spanish
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