The technology integrates the user’s data from social media with data from other sources, for example, HeadHunter, Netflix, Imhonet, etc.
It accounts for sex, age, education, and contact details.
The data integration algorithm is based on the evaluation of the probability of joint distribution of the profile’s parameters. It is used to estimate user income, music and film interests, 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
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
Search social media users that look like business clients or a certain audience
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