The Implementation of Content Planner Application with MobileNetV2 Classification for Hashtag Automation

Abstract

Social media has become the most common communication channel in the 21st century. This progress opens up job opportunities for content developers, especially social media users who want their content to be managed professionally. A content developer handles several types of social media simultaneously for several clients that must be managed. Data shows that social media content developer workers experience fatigue because they have to manage a lot of content, thus sacrificing post quality if there are no tools that make their work easier. This study aims to design and develop a content planner application with the feature of making automatic hashtag creation. Identification of app features was made through interview processes with several content developers. Among the interview results, it was found that they expressed difficulties when using applications that were not directly integrated with several popular social media, in addition to complaints about the difficulty of determining captions and hashtags for each post on social media. This research created an application that helps content developers manage social media posts with helpful features such as implementing image classification using MobileNetV2 for hashtag automation with 72% accuracy. The direct test results found that the content planner application with the automatic hash feature helps content developers to manage posting content easier.