Publication: Automated Sinhala News Platform Based on Machine Learning and Deep Learning
Type:
Article
Date
2021-12-09
Journal Title
Journal ISSN
Volume Title
Publisher
2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT
Abstract
Over the years, newspapers are taken as a major
activity in citizens. Due to digitalization, online newspapers get
famed, and eventually, it seems to be an ideal adaptation for
their busy lifestyle. While there are several Sinhala News
platforms, nonetheless, provide an advance and better user
experience similar to English news platforms like google news.
To fill this gap the proposed news platform, dispense
personalized news recommendation based on user behaviors
and user emotions. To replace the manual news categorization,
the proposed system is armed with automatic news
categorization. An automatically unnecessary comment
removing feature was also added to the proposed system as an
extra feature. The system implementation is based on deep
learning, machine learning, NLP, sentimental analysis, and
image processing techniques where it can provide a better user
experience and a new experience.
Description
Keywords
automatic text categorization, hybrid recommendation, emotional recommendation, comment analyzation
