Brand Analysis in Social Networks Using Deep Learning Techniques

In recent years, the importance of social media data has increased with developments in information and communication technologies, volume, velocity, variety, veracity, value have been affected by these developments. Because popularity networks, analysis also become an important issue for large companies whose brand identity is very crucial. User comments, shares, explanations networks can be used to obtain about product. Besides, deep learning techniques, which popular recently provide high accuracy, employed big networks. The number studies examining image quite limited. this context, we developed a model that performs using techniques considering Starbucks Coffee Company, one world's largest coffeehouse chains. We trained our Faster Region-based Convolutional Neural Network (Faster R-CNN), Single Shot Multibox Detector (SSD), Mask R-CNN, You Only Look Once (YOLO) algorithms. then tested on from Instagram compared results. light results, shown analyzes significantly affect their brands.