A technology to automatically determine the tone of texts on social media. Detection of emotionally colored words in posts, comments, and responses.
This technology is used to reveal the author’s emotional assessment— negative, neutral, or positive. Text analysis determines +30 basic emotions, such as sadness, surprise, anger, etc.
Mining social media user interests based on their behavior. More than 250 different interests
Determination of the social media user’s social and demographic profile
Search company clients on social media by telephone and/or e-mail for research and advertising purposes
Text categorization by +200 topics such as sports, real estate, finance, etc.
Identification of a single user’s profiles on different social media and integration of their information
Used to match social media user profiles with user data in free form
Search social media users that look like business clients or a certain audience
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