Abstract
Social media has boomed in recent years, along with platforms for user generated content. Major social network platforms like Google and Facebook use a singular advertisement mediation service, where ads are provided by corporates to target users/customers. Facebook analyses and uses a users meta data and content consuming behavior to present the best suitable commercial. We, in this work, show an innovative approach where advertisement mediation is done using users own generated content, in the form of memes on a corporate. Memes are chosen as a medium due to their supreme ability to penetrate the internet and get viral quickly. Because the content is generated by the user, who is also the target of the advertisement, the content is well understood, received and appreciated in comparison of content used in other approaches like Facebook audience network, Google Adsense or Twitter MoPub. Using this method, users are renumerated monetarily for the content they post, which also becomes the advertisements that will be later used by corporates. We track user generated content, for subscribed corporates using Tesseract algorithm for optical character recognition along with Vader NLP. for NLP. and provide results that strongly suggest why the method suggested in this article is useful and advantageous compared to other methods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
