This technology is used to identify the sex, age, marital status, and presence of children when some data is not disclosed or is hidden by the user.
The machine learning task (classification or regression) is selected separately for each individual property. Data publicly available in the profile and information about the behavior of the user and their friends are used as factors.
Mining social media user interests based on their behavior. More than 250 different interests
Search company clients on social media by telephone and/or e-mail for research and advertising purposes
Determination of the tone of the text and identification of +30 basic emotions, including sadness, surprise, desire, etc.
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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