Sentiment analysis of informal malay tweets with deep learning

• Main Authors: Ying, O. J., Zabidi, M. M. A., Ramli, N., Sheikh, U. U.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/86653/1/MuhammadMunimAhmad2020_SentimentAnalysisofInformalMalayTweets.pdf; http://eprints.utm.my/id/eprint/86653/; https://dx.doi.org/10.11591/ijai.v9.i2.pp212-220

Twitter is an online microblogging and social-networking platform which allows users to write short messages called tweets. It has over 330 million registered users generating nearly 250 million tweets per day. As Malay is the national language in Malaysia, there is a significant number of users twe...