Sentiment Analysis on Mixed-Language Social Media Post

• 主要な著者: Mohamed Salleh F.H., Gorment N.Z., Mohd Ridza M.H.
• その他の著者: 58883881800
• フォーマット: Conference Paper
• 出版事項: Institute of Electrical and Electronics Engineers Inc. 2024
• 主題: machine learning; mixed-language; sentiment analysis; social media post; Learning algorithms; Machine learning; Social aspects; Social networking (online); Analysis models; Machine-learning; Malaysians; Mixed-language; Power; Public opinions; Sentiment analysis; Social media; Social medium post; Topic events

Sentiment analysis is a powerful tool that can be used by businesses and organizations to gather valuable data about public opinion towards a brand, product, topic, event, and much more. However, most Malaysians post on social media using a mix of English and Malay words, also known as Manglish, whi...