Sentiment analysis of noisy Malay text: State of art, challenges and future work

• Main Authors: Muhammad Fakhrur Razi Abu Bakar, Norisma Idris, Liyana Shuib, Norazlina Khamis
• Format: Article
• Language: English
• Published: 2020
• Online Access: https://eprints.ums.edu.my/id/eprint/25514/1/Sentiment%20analysis%20of%20noisy%20Malay%20text%20State%20of%20art%2C%20challenges%20and%20future%20work.pdf; https://eprints.ums.edu.my/id/eprint/25514/; https://doi.org/10.1109/ACCESS.2020.2968955
• Institution: Universiti Malaysia Sabah

Sentiment analysis (SA) is a study where people's opinions and emotions are automatically extracted in the form of sentiments from the natural language text. In social media monitoring, it is very useful because it allows user to gain an overall picture of the extensive public opinion behind ma...