Document Type
Honors Thesis
Abstract
Advertisers are moving away from traditional advertising media and focusing on Social Media platforms with the help of Social Media Influencers. These influencers create “sponsored” content that seems out of place. This reduces the users’ quality of experience and appears forced. BASS ensures that an advertisement would blend naturally and smoothly into an influencer's social media by analyzing the similarities between the advertiser and the nature of the influencer's past content. BASS involves using tools, such as Computer Vision and Data Mining, to generalize the trends among brands, themes, and objects that recur in the influencer's past social media posts. Once these trends are obtained, a text vectorization and matching algorithm ranks different influencers in order of natural fits for a given advertiser.
Publication Date
5-1-2019
Language
English
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Sharma, Divyanshu, "BETTER ADVERTISING USING SMARTER SCREENING" (2019). 2019 Spring Honors Capstone Projects. 3.
https://mavmatrix.uta.edu/honors_spring2019/3