Open AccessHashtag Generation with Transfer Learning
Author(s) -
M. Venu Gopalachari
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35516
Subject(s) - social media , computer science , product (mathematics) , preprocessor , face (sociological concept) , focus (optics) , value (mathematics) , transfer of learning , world wide web , multimedia , advertising , artificial intelligence , business , machine learning , social science , physics , geometry , mathematics , sociology , optics
In the recent past, Online Marketing applications have been a focus of research. Now-a-days we can observe a rapid growth of users on social media platforms which makes these platforms more suitable for Online Marketing. 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. Hashtags are super useful, not only do they help users find their desired product, they also help businesses reach their target audience. This paper focuses on providing trending hashtags for businesses to increase their reach in the market and also help users find their desired product. 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 hashtags