Stream ETL framework for twitter-based sentiment analysis: Leveraging big data technologies
Twitter has emerged as a rich source of real-time data, providing valuable insights across various domains such as healthcare and business. Sentiment analysis is crucial in understanding public reactions and sentiments expressed on Twitter, empowering organizations to make informed decisions. Howeve...
Published in: | EXPERT SYSTEMS WITH APPLICATIONS |
---|---|
Main Authors: | Ismail, Azlan; Sazali, Faris Haziq; Jawaddi, Siti Nuraishah Agos; Mutalib, Sofianita |
Format: | Article |
Language: | English |
Published: |
PERGAMON-ELSEVIER SCIENCE LTD
2025
|
Subjects: | |
Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001341067900001 |
Similar Items
-
Stream ETL framework for twitter-based sentiment analysis: Leveraging big data technologies
by: Ismail A.; Sazali F.H.; Agos Jawaddi S.N.; Mutalib S.
Published: (2025) -
Integrating OpenAI Gym and CloudSim Plus: A simulation environment for DRL Agent training in energy-driven cloud scaling
by: Jawaddi, et al.
Published: (2024) -
Enhancing energy efficiency in cloud scaling: A DRL-based approach incorporating cooling power
by: Jawaddi, et al.
Published: (2023) -
The effect of big data competencies and tone at the top on internal auditors fraud detection effectiveness
by: Dewi, et al.
Published: (2024) -
Discovering Hate Sentiment within Twitter Data through Aspect-Based Sentiment Analysis
by: Zainuddin N.; Selamat A.; Ibrahim R.
Published: (2020)