Publication: Hashtag Generator and Content Authenticator
Type:
Article
Date
2018-01
Journal Title
Journal ISSN
Volume Title
Publisher
researchgate.net
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.
Description
Keywords
Hashtags, social media, NLP, machine learning, content authentication, REST API
Citation
Yapa Abeywardena, Kavinga & A.R., Ginige & N., Herath & Somarathne, Harshani & T.M.N.S., Thennakoon. (2018). Hashtag Generator and Content Authenticator. International Journal of Advanced Computer Science and Applications. 9. 10.14569/IJACSA.2018.090933.
