Unfortunately, this research stream has a weak structure, and a systematic review of extant literature in the research field is missing. Therefore, the current state of marketing research with respect to AI and ML is rich with ideas. Firstly Data collection and preprocessing is done next few pre-trained model are selected for performing transfer learning, comparing results of various pre-trained models and choosing the best one and get the trending hashtagsĭiscussions around artificial intelligence (AI) and machine learning (ML) have gained increasing prominence in marketing theory and practice. This paper focuses on providing trending hashtags for businesses to increase their reach in the market and also help users find their desired product. Hashtags are super useful, not only do they help users find their desired product, they also help businesses reach their target audience.
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. But still there are enormous challenges on the accuracy and authenticity of the content posted through social media. Now-a-days we can observe a rapid growth of users on social media platforms which makes these platforms more suitable for Online Marketing. In the recent past, Online Marketing applications have been a focus of research. © 2018 International Journal of Advanced Computer Science and Applications.
#Hashtag generator how to
This paper provides a brief description on how to perform an organized online marketing discipline via the Trending Hashtag Generator & Image Authenticator application. 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. 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.
It is believed that the application provides a promising solution to existing audience reach problems of online marketers and buyers. The target audience who engages in buying products get to know about the status of the sellers with respect to authenticity of the content. A unique database is assigned to users which contains rankings for each user. The application uses Natural Language Processing, Machine Learning, API technologies, Java and Python technologies. Additionally, the marketing products' content authentication is ensured. 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. 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.
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