As you explore the web, effortlessly extract emotion and mood from content.
Analyze unstructured text at a large scale, classifying individual messages based on their purpose or dividing people into personality types.
Identify the language each user is using, even if their grammar and spelling are subpar.
Sentiment Analysis in Text
Start by comprehending signals expressing various emotions and effectively reacting to them.
Analysis of Emotion in Text
Utilize the universal emotion model proposed by Paul Ekman to classify textual material according to the author’s feelings.
Evaluation of Communication Style
Sort posts and messages from other users based on their tonality so you may answer in the appropriate manner.
Identification of Personality Traits
Based only on what they write, divide your clients or staff into personality-based groups.
Sentiment analysis based on aspects
Target particular topics of interest and the attitudes that your users have about them.
You may examine emails, support tickets, chat messages, online reviews, and much more using this plugin. Our special blend of psychology and AI provides the most profound comprehension of not only what someone is saying, but also how they are saying it. Recognize the message’s communicational nuances and choose your interactions with the author wisely.
With simplicity in mind, we created AI-Powered Text Insights. It works with practically all text, independent of where it came from, including text from social media sites like Facebook and Linkedin, web tools like Trello and Slack, review websites like Tripadvisor and Yelp, online e-mail services like Gmail, and much more.
This add-on makes use of the Psycholinguistic Text Analytics API from Symanto. On https://www.symanto.com/api/, you can find more details about this API and get a free API key.
We value your privacy, thus by default, this extension will send your text to https://developer.symanto.net via a secure encrypted connection in order to be checked. To use this extension, an account is not required.
Spanish, German, and English are on the list of supported languages.