Hashtag Generator and Content Authenticator

Abstract

In the recent past, Online Marketing applications have been a focus of research. But still there are enormous challenges on the accuracy and authenticity of the content posted through social media. And if the social media business platforms are considered, majority of the users who try to add a market value to their own product face the problem of not getting enough attention from their target audience. The purpose of this research is to develop a safe and efficient trending hashtag generating application solution for social media business users which generates trending and relevant hashtags for user content in order to get a broad reach of target audience, automatically generates a meaningful caption to their relevant posts and guarantees the authenticity of the product at the same time. The user content is analyzed and filters the important keywords, generates a meaningful caption, suggest related trending keywords and generates trending hashtags to get the required reach for online marketers. Additionally, the marketing products' content authentication is ensured. The application uses Natural Language Processing, Machine Learning, API technologies, Java and Python technologies. A unique database is assigned to users which contains rankings for each user. The target audience who engages in buying products get to know about the status of the sellers with respect to authenticity of the content. It is believed that the application provides a promising solution to existing audience reach problems of online marketers and buyers. The significance of this system is to help marketers and buyers to engage in online buying and selling with much effective, reliable and safer ways. This mitigate the vulnerability of bad social media marketing influences and helps to establish a safe and reliable online marketing practice to make both sellers and buyers happy. This paper provides a brief description on how to perform an organized online marketing discipline via the Trending Hashtag Generator & Image Authenticator application.

Content marketing strategy and its impact on customers under the global market conditions

“…For all social networks the advantage is that they can be more accurately measured and their value tells a certain popularity and authority of the site. [17] If measurements are taken for each post posted to social networks and the content is shared many times, this affects the interests of users and there is also a good chance of attracting new users. The forms of measurement also as well as the number of completed forms, registration or newsletter subscriptions, the number of comments below the content.…”

Towards the Adoption of Machine Learning-Based Analytical Tools in Digital Marketing

“…ML models are developed to predict the degree of visibility of corporate websites [19]. A trending hashtag generating application for social media business users is developed using ML and other approaches, generating trending and relevant hashtags for user content in order to get a broad reach of target audience [20]. A methodology using ML to accurately detect the marketing and sale of opioids by illicit online sellers via Twitter has been developed and deployed [21].…”