Publication:
Automated Sinhala News Platform Based on Machine Learning and Deep Learning

Simple item page
dc.contributor.authorMalsha, N.P.G.A.
dc.contributor.authorHeshani, K.D.
dc.contributor.authorRansara, R.K.
dc.contributor.authorKumari, P.k.S.
dc.contributor.authorKuruppu, T.A.
dc.date.accessioned2022-02-07T08:05:56Z
dc.date.available2022-02-07T08:05:56Z
dc.date.issued2021-12-09
dc.description.abstractOver 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.en_US
dc.description.sponsorshipCo-Sponsor:Institute of Electrical and Electronic Engineers (IEEE) Academic sponsor:SLIIT UNI Gold Sponsor :London Stock Exchange Group (LSEG)en_US
dc.identifier.doi10.1109/ICAC54203.2021.9671079en_US
dc.identifier.issn978-1-6654-0862-2/21
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/979
dc.language.isoenen_US
dc.publisher2021 3rd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.subjectautomatic text categorizationen_US
dc.subjecthybrid recommendationen_US
dc.subjectemotional recommendationen_US
dc.subjectcomment analyzationen_US
dc.titleAutomated Sinhala News Platform Based on Machine Learning and Deep Learningen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Automated_Sinhala_News_Platform_Based_on_Machine_Learning_and_Deep_Learning.pdf
Size:
1.46 MB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Research Papers - Dept of Information Technology