An Application of Machine Learning on Social Media for Solid Waste Management
The purpose of this study is to analyze the social media publicity of solid waste management through a Twitter page. The objectives are to determine the sentiment and frequently used keywords related to solid waste management on Twitter, and to analyze the ranking order and contribution levels of th...
Published in: | 2024 5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024 - Proceedings |
---|---|
Main Author: | Januri S.S.; Rozi N.A.B.M.; Nasir N.; Mustaf-Jab S.N.; Sahar N.N. |
Format: | Conference paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209651898&doi=10.1109%2fAiDAS63860.2024.10730401&partnerID=40&md5=e0cd1ff000fee5fb97e5c3bebf357bc2 |
Similar Items
-
Time series forecasting of solid waste generation in selected states in Malaysia
by: Nasir N.; Shariff S.S.R.; Januri S.S.; Zulkipli F.; Md Yasin Z.A.M.
Published: (2023) -
A Study of Sentiment Analysis in Customer Food Preferences Through Machine Learning
by: Nasir N.; Zahari S.M.; Januri S.S.; Aidil N.I.B.M.; Pauzi N.I.N.M.; Zubir A.Z.
Published: (2024) -
Students’ Perception and Exploring Technological Roles in Solid Waste Engineering and Management Education
by: Khairuddin D.; Ali N.H.N.; Kamaruding M.; Ismail N.N.
Published: (2024) -
Convolutional neural network for solid waste segregation and management
by: Ong T.C.; Yong M.G.O.; Manap N.A.; Abdullah F.; Ong T.S.
Published: (2020) -
The effects of different strength of MS media in solid and liquid media on in vitro growth of Typhonium flagelliforme
by: Rezali N.I.; Jaafar Sidik N.; Saleh A.; Osman N.I.; Mohd Adam N.A.
Published: (2017)